[TF Hub][TF FE] Fix TF Hub models validation and extend precommit (#19567)
* Add all scope of models for testing * Fix signature in test * Fix workaround with output tensor names * Fix unknown rank input resource case * [TF Hub][TF FE] Fix TF Hub model validation and extend precommit Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Remove unneeded comments --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
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Roman Kazantsev authored and 
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@@ -1,5 +1,6 @@
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# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import gc
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import numpy as np
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from openvino.runtime import Core
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@@ -69,17 +70,21 @@ class TestConvertModel:
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print("absolute eps: {}, relative eps: {}".format(fw_eps, fw_eps))
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assert is_ok, "Accuracy validation failed"
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def teardown_method(self):
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# deallocate memory after each test case
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gc.collect()
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def run(self, model_name, model_link, ie_device):
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print("Load the model {} (url: {})".format(model_name, model_link))
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concrete_func = self.load_model(model_name, model_link)
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fw_model = self.load_model(model_name, model_link)
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print("Retrieve inputs info")
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inputs_info = self.get_inputs_info(concrete_func)
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inputs_info = self.get_inputs_info(fw_model)
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print("Prepare input data")
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inputs = self.prepare_inputs(inputs_info)
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print("Convert the model into ov::Model")
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ov_model = self.convert_model(concrete_func)
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ov_model = self.convert_model(fw_model)
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print("Infer the original model")
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fw_outputs = self.infer_fw_model(concrete_func, inputs)
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fw_outputs = self.infer_fw_model(fw_model, inputs)
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print("Infer ov::Model")
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ov_outputs = self.infer_ov_model(ov_model, inputs, ie_device)
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print("Compare TensorFlow and OpenVINO results")
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@@ -0,0 +1,689 @@
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universal-sentence-encoder,https://tfhub.dev/google/universal-sentence-encoder/4?tf-hub-format=compressed
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imagenet/mobilenet_v1_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/classification/5?tf-hub-format=compressed
|
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imagenet/mobilenet_v2_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/5?tf-hub-format=compressed
|
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universal-sentence-encoder-multilingual,https://tfhub.dev/google/universal-sentence-encoder-multilingual/3?tf-hub-format=compressed
|
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universal-sentence-encoder-large,https://tfhub.dev/google/universal-sentence-encoder-large/5?tf-hub-format=compressed
|
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imagenet/mobilenet_v2_075_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_075_224/classification/5?tf-hub-format=compressed
|
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movenet/singlepose/lightning,https://tfhub.dev/google/movenet/singlepose/lightning/4?tf-hub-format=compressed
|
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imagenet/mobilenet_v1_025_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/classification/5?tf-hub-format=compressed
|
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bert_en_uncased_preprocess,https://tfhub.dev/tensorflow/bert_en_uncased_preprocess/3?tf-hub-format=compressed
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tf2-preview/mobilenet_v2/feature_vector,https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/4?tf-hub-format=compressed
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magenta/arbitrary-image-stylization-v1-256,https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2?tf-hub-format=compressed
|
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nnlm-en-dim128,https://tfhub.dev/google/nnlm-en-dim128/2?tf-hub-format=compressed
|
||||
bert_en_uncased_L-12_H-768_A-12,https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/4?tf-hub-format=compressed
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bert_uncased_L-12_H-768_A-12,https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1?tf-hub-format=compressed
|
||||
elmo,https://tfhub.dev/google/elmo/3?tf-hub-format=compressed
|
||||
universal-sentence-encoder-multilingual-large,https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-4_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-4_H-256_A-4/2?tf-hub-format=compressed
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imagenet/resnet_v2_50/feature_vector,https://tfhub.dev/google/imagenet/resnet_v2_50/feature_vector/5?tf-hub-format=compressed
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spice,https://tfhub.dev/google/spice/2?tf-hub-format=compressed
|
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movenet/singlepose/thunder,https://tfhub.dev/google/movenet/singlepose/thunder/4?tf-hub-format=compressed
|
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yamnet,https://tfhub.dev/google/yamnet/1?tf-hub-format=compressed
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tf2-preview/nnlm-en-dim128,https://tfhub.dev/google/tf2-preview/nnlm-en-dim128/1?tf-hub-format=compressed
|
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universal-sentence-encoder-lite,https://tfhub.dev/google/universal-sentence-encoder-lite/2?tf-hub-format=compressed
|
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tf2-preview/mobilenet_v2/classification,https://tfhub.dev/google/tf2-preview/mobilenet_v2/classification/4?tf-hub-format=compressed
|
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imagenet/inception_v3/feature_vector,https://tfhub.dev/google/imagenet/inception_v3/feature_vector/5?tf-hub-format=compressed
|
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imagenet/mobilenet_v2_140_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/5?tf-hub-format=compressed
|
||||
efficientnet/lite0/feature-vector,https://tfhub.dev/tensorflow/efficientnet/lite0/feature-vector/2?tf-hub-format=compressed
|
||||
i3d-kinetics-400,https://tfhub.dev/deepmind/i3d-kinetics-400/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_035_224/classification/5?tf-hub-format=compressed
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tf2-preview/gnews-swivel-20dim,https://tfhub.dev/google/tf2-preview/gnews-swivel-20dim/1?tf-hub-format=compressed
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faster_rcnn/openimages_v4/inception_resnet_v2,https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1?tf-hub-format=compressed
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imagenet/mobilenet_v2_140_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/feature_vector/5?tf-hub-format=compressed
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imagenet/mobilenet_v2_100_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/feature_vector/5?tf-hub-format=compressed
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bert_en_cased_L-12_H-768_A-12,https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/4?tf-hub-format=compressed
|
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universal-sentence-encoder-cmlm/en-base,https://tfhub.dev/google/universal-sentence-encoder-cmlm/en-base/1?tf-hub-format=compressed
|
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openimages_v4/ssd/mobilenet_v2,https://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1?tf-hub-format=compressed
|
||||
efficientnet/lite0/classification,https://tfhub.dev/tensorflow/efficientnet/lite0/classification/2?tf-hub-format=compressed
|
||||
universal-sentence-encoder-xling-many,https://tfhub.dev/google/universal-sentence-encoder-xling-many/1?tf-hub-format=compressed
|
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imagenet/mobilenet_v3_large_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v3_large_100_224/classification/5?tf-hub-format=compressed
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nnlm-en-dim128-with-normalization,https://tfhub.dev/google/nnlm-en-dim128-with-normalization/2?tf-hub-format=compressed
|
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nnlm-en-dim50,https://tfhub.dev/google/nnlm-en-dim50/2?tf-hub-format=compressed
|
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movenet/multipose/lightning,https://tfhub.dev/google/movenet/multipose/lightning/1?tf-hub-format=compressed
|
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efficientdet/lite0/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite0/feature-vector/1?tf-hub-format=compressed
|
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imagenet/efficientnet_v2_imagenet1k_b0/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b0/feature_vector/2?tf-hub-format=compressed
|
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small_bert/bert_en_uncased_L-4_H-512_A-8,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-4_H-512_A-8/2?tf-hub-format=compressed
|
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universal-sentence-encoder-cmlm/multilingual-preprocess,https://tfhub.dev/google/universal-sentence-encoder-cmlm/multilingual-preprocess/2?tf-hub-format=compressed
|
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vggish,https://tfhub.dev/google/vggish/1?tf-hub-format=compressed
|
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bert_multi_cased_L-12_H-768_A-12,https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/4?tf-hub-format=compressed
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imagenet/mobilenet_v2_130_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_130_224/classification/5?tf-hub-format=compressed
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tf2-preview/inception_v3/feature_vector,https://tfhub.dev/google/tf2-preview/inception_v3/feature_vector/4?tf-hub-format=compressed
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mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT,https://tfhub.dev/google/mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT/1?tf-hub-format=compressed
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bert_en_uncased_L-24_H-1024_A-16,https://tfhub.dev/tensorflow/bert_en_uncased_L-24_H-1024_A-16/4?tf-hub-format=compressed
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imagenet/mobilenet_v3_small_100_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v3_small_100_224/feature_vector/5?tf-hub-format=compressed
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efficientdet/lite0/detection,https://tfhub.dev/tensorflow/efficientdet/lite0/detection/1?tf-hub-format=compressed
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small_bert/bert_en_uncased_L-2_H-128_A-2,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-2_H-128_A-2/2?tf-hub-format=compressed
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albert_base,https://tfhub.dev/google/albert_base/3?tf-hub-format=compressed
|
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nnlm-ja-dim128,https://tfhub.dev/google/nnlm-ja-dim128/2?tf-hub-format=compressed
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universal-sentence-encoder-multilingual-qa,https://tfhub.dev/google/universal-sentence-encoder-multilingual-qa/3?tf-hub-format=compressed
|
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nnlm-ja-dim128-with-normalization,https://tfhub.dev/google/nnlm-ja-dim128-with-normalization/2?tf-hub-format=compressed
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LaBSE,https://tfhub.dev/google/LaBSE/2?tf-hub-format=compressed
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nnlm-en-dim50-with-normalization,https://tfhub.dev/google/nnlm-en-dim50-with-normalization/2?tf-hub-format=compressed
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resnet_50/feature_vector,https://tfhub.dev/tensorflow/resnet_50/feature_vector/1?tf-hub-format=compressed
|
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universal-sentence-encoder-qa,https://tfhub.dev/google/universal-sentence-encoder-qa/3?tf-hub-format=compressed
|
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biggan-deep-256,https://tfhub.dev/deepmind/biggan-deep-256/1?tf-hub-format=compressed
|
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efficientdet/lite2/detection,https://tfhub.dev/tensorflow/efficientdet/lite2/detection/1?tf-hub-format=compressed
|
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imagenet/mobilenet_v2_050_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_050_224/classification/5?tf-hub-format=compressed
|
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mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT/squadv1,https://tfhub.dev/google/mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT/squadv1/1?tf-hub-format=compressed
|
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delf,https://tfhub.dev/google/delf/1?tf-hub-format=compressed
|
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ssd_mobilenet_v2,https://tfhub.dev/tensorflow/ssd_mobilenet_v2/2?tf-hub-format=compressed
|
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imagenet/mobilenet_v3_large_075_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v3_large_075_224/feature_vector/5?tf-hub-format=compressed
|
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centernet/hourglass_512x512_kpts,https://tfhub.dev/tensorflow/centernet/hourglass_512x512_kpts/1?tf-hub-format=compressed
|
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bert_cased_L-12_H-768_A-12,https://tfhub.dev/google/bert_cased_L-12_H-768_A-12/1?tf-hub-format=compressed
|
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biggan-512,https://tfhub.dev/deepmind/biggan-512/2?tf-hub-format=compressed
|
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tf2-preview/gnews-swivel-20dim-with-oov,https://tfhub.dev/google/tf2-preview/gnews-swivel-20dim-with-oov/1?tf-hub-format=compressed
|
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tf2-preview/nnlm-es-dim50-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-es-dim50-with-normalization/1?tf-hub-format=compressed
|
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efficientnet/b4/feature-vector,https://tfhub.dev/tensorflow/efficientnet/b4/feature-vector/1?tf-hub-format=compressed
|
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enformer,https://tfhub.dev/deepmind/enformer/1?tf-hub-format=compressed
|
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efficientnet/b0/feature-vector,https://tfhub.dev/tensorflow/efficientnet/b0/feature-vector/1?tf-hub-format=compressed
|
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efficientnet/b0/feature-vector,https://tfhub.dev/google/efficientnet/b0/feature-vector/1?tf-hub-format=compressed
|
||||
aiy/vision/classifier/food_V1,https://tfhub.dev/google/aiy/vision/classifier/food_V1/1?tf-hub-format=compressed
|
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albert_en_base,https://tfhub.dev/tensorflow/albert_en_base/3?tf-hub-format=compressed
|
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imagenet/inception_v3/classification,https://tfhub.dev/google/imagenet/inception_v3/classification/5?tf-hub-format=compressed
|
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nonsemantic-speech-benchmark/trill-distilled,https://tfhub.dev/google/nonsemantic-speech-benchmark/trill-distilled/3?tf-hub-format=compressed
|
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efficientnet/lite4/feature-vector,https://tfhub.dev/tensorflow/efficientnet/lite4/feature-vector/2?tf-hub-format=compressed
|
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resnet_50/classification,https://tfhub.dev/tensorflow/resnet_50/classification/1?tf-hub-format=compressed
|
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imagenet/efficientnet_v2_imagenet21k_ft1k_m/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_m/feature_vector/2?tf-hub-format=compressed
|
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imagenet/inception_v1/classification,https://tfhub.dev/google/imagenet/inception_v1/classification/5?tf-hub-format=compressed
|
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bit/m-r50x1,https://tfhub.dev/google/bit/m-r50x1/1?tf-hub-format=compressed
|
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progan-128,https://tfhub.dev/google/progan-128/1?tf-hub-format=compressed
|
||||
biggan-256,https://tfhub.dev/deepmind/biggan-256/2?tf-hub-format=compressed
|
||||
nnlm-de-dim50-with-normalization,https://tfhub.dev/google/nnlm-de-dim50-with-normalization/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b0/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b0/feature_vector/2?tf-hub-format=compressed
|
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bert_multi_cased_preprocess,https://tfhub.dev/tensorflow/bert_multi_cased_preprocess/3?tf-hub-format=compressed
|
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imagenet/efficientnet_v2_imagenet21k_xl/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_xl/feature_vector/2?tf-hub-format=compressed
|
||||
efficientnet/lite2/feature-vector,https://tfhub.dev/tensorflow/efficientnet/lite2/feature-vector/2?tf-hub-format=compressed
|
||||
tfgan/eval/inception,https://tfhub.dev/tensorflow/tfgan/eval/inception/1?tf-hub-format=compressed
|
||||
efficientdet/lite2/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite2/feature-vector/1?tf-hub-format=compressed
|
||||
albert_lite_base,https://tfhub.dev/tensorflow/albert_lite_base/1?tf-hub-format=compressed
|
||||
efficientnet/lite1/feature-vector,https://tfhub.dev/tensorflow/efficientnet/lite1/feature-vector/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v3_large_100_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v3_large_100_224/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/lite4/classification,https://tfhub.dev/tensorflow/efficientnet/lite4/classification/2?tf-hub-format=compressed
|
||||
Wiki-words-250,https://tfhub.dev/google/Wiki-words-250/2?tf-hub-format=compressed
|
||||
efficientnet/lite3/feature-vector,https://tfhub.dev/tensorflow/efficientnet/lite3/feature-vector/2?tf-hub-format=compressed
|
||||
imagenet/inception_resnet_v2/feature_vector,https://tfhub.dev/google/imagenet/inception_resnet_v2/feature_vector/5?tf-hub-format=compressed
|
||||
efficientdet/d0,https://tfhub.dev/tensorflow/efficientdet/d0/1?tf-hub-format=compressed
|
||||
tfgan/eval/mnist/logits,https://tfhub.dev/tensorflow/tfgan/eval/mnist/logits/1?tf-hub-format=compressed
|
||||
albert_en_preprocess,https://tfhub.dev/tensorflow/albert_en_preprocess/3?tf-hub-format=compressed
|
||||
bert_zh_L-12_H-768_A-12,https://tfhub.dev/tensorflow/bert_zh_L-12_H-768_A-12/4?tf-hub-format=compressed
|
||||
efficientdet/lite4/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite4/feature-vector/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/feature_vector/5?tf-hub-format=compressed
|
||||
bert_chinese_L-12_H-768_A-12,https://tfhub.dev/google/bert_chinese_L-12_H-768_A-12/1?tf-hub-format=compressed
|
||||
mask_rcnn/inception_resnet_v2_1024x1024,https://tfhub.dev/tensorflow/mask_rcnn/inception_resnet_v2_1024x1024/1?tf-hub-format=compressed
|
||||
object_detection/mobile_object_localizer_v1,https://tfhub.dev/google/object_detection/mobile_object_localizer_v1/1?tf-hub-format=compressed
|
||||
efficientdet/lite3/detection,https://tfhub.dev/tensorflow/efficientdet/lite3/detection/1?tf-hub-format=compressed
|
||||
tf2-preview/inception_v3/classification,https://tfhub.dev/google/tf2-preview/inception_v3/classification/4?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_96/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_035_96/classification/5?tf-hub-format=compressed
|
||||
faster_rcnn/inception_resnet_v2_640x640,https://tfhub.dev/tensorflow/faster_rcnn/inception_resnet_v2_640x640/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_50/classification,https://tfhub.dev/google/imagenet/resnet_v2_50/classification/5?tf-hub-format=compressed
|
||||
aiy/vision/classifier/birds_V1,https://tfhub.dev/google/aiy/vision/classifier/birds_V1/1?tf-hub-format=compressed
|
||||
MuRIL,https://tfhub.dev/google/MuRIL/1?tf-hub-format=compressed
|
||||
efficientdet/lite1/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite1/feature-vector/1?tf-hub-format=compressed
|
||||
random-nnlm-en-dim128,https://tfhub.dev/google/random-nnlm-en-dim128/1?tf-hub-format=compressed
|
||||
imagenet/inception_resnet_v2/classification,https://tfhub.dev/google/imagenet/inception_resnet_v2/classification/5?tf-hub-format=compressed
|
||||
ssd_mobilenet_v2/fpnlite_320x320,https://tfhub.dev/tensorflow/ssd_mobilenet_v2/fpnlite_320x320/1?tf-hub-format=compressed
|
||||
centernet/resnet50v1_fpn_512x512,https://tfhub.dev/tensorflow/centernet/resnet50v1_fpn_512x512/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-2_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-2_H-256_A-4/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_s/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_s/feature_vector/2?tf-hub-format=compressed
|
||||
biggan-deep-512,https://tfhub.dev/deepmind/biggan-deep-512/1?tf-hub-format=compressed
|
||||
universal-sentence-encoder-cmlm/multilingual-base-br,https://tfhub.dev/google/universal-sentence-encoder-cmlm/multilingual-base-br/1?tf-hub-format=compressed
|
||||
faster_rcnn/resnet50_v1_640x640,https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_640x640/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v3_large_075_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v3_large_075_224/classification/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v3_small_075_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v3_small_075_224/classification/5?tf-hub-format=compressed
|
||||
tweening_conv3d_bair,https://tfhub.dev/google/tweening_conv3d_bair/1?tf-hub-format=compressed
|
||||
efficientnet/b7/feature-vector,https://tfhub.dev/tensorflow/efficientnet/b7/feature-vector/1?tf-hub-format=compressed
|
||||
bert_en_cased_preprocess,https://tfhub.dev/tensorflow/bert_en_cased_preprocess/3?tf-hub-format=compressed
|
||||
bert_uncased_L-24_H-1024_A-16,https://tfhub.dev/google/bert_uncased_L-24_H-1024_A-16/1?tf-hub-format=compressed
|
||||
centernet/hourglass_512x512,https://tfhub.dev/tensorflow/centernet/hourglass_512x512/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_128/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_035_128/feature_vector/5?tf-hub-format=compressed
|
||||
efficientdet/d7,https://tfhub.dev/tensorflow/efficientdet/d7/1?tf-hub-format=compressed
|
||||
albert_en_xxlarge,https://tfhub.dev/tensorflow/albert_en_xxlarge/3?tf-hub-format=compressed
|
||||
efficientnet/lite3/classification,https://tfhub.dev/tensorflow/efficientnet/lite3/classification/2?tf-hub-format=compressed
|
||||
efficientdet/lite3/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite3/feature-vector/1?tf-hub-format=compressed
|
||||
MuRIL_preprocess,https://tfhub.dev/google/MuRIL_preprocess/1?tf-hub-format=compressed
|
||||
imagenet/inception_v1/feature_vector,https://tfhub.dev/google/imagenet/inception_v1/feature_vector/5?tf-hub-format=compressed
|
||||
efficientdet/lite3x/detection,https://tfhub.dev/tensorflow/efficientdet/lite3x/detection/1?tf-hub-format=compressed
|
||||
midas/v2,https://tfhub.dev/intel/midas/v2/2?tf-hub-format=compressed
|
||||
universal-sentence-encoder-cmlm/multilingual-base,https://tfhub.dev/google/universal-sentence-encoder-cmlm/multilingual-base/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/feature_vector/5?tf-hub-format=compressed
|
||||
bit/m-r50x1/ilsvrc2012_classification,https://tfhub.dev/google/bit/m-r50x1/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_s/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_s/classification/2?tf-hub-format=compressed
|
||||
nnlm-ja-dim50,https://tfhub.dev/google/nnlm-ja-dim50/2?tf-hub-format=compressed
|
||||
electra_small,https://tfhub.dev/google/electra_small/2?tf-hub-format=compressed
|
||||
nonsemantic-speech-benchmark/trill,https://tfhub.dev/google/nonsemantic-speech-benchmark/trill/3?tf-hub-format=compressed
|
||||
bigbigan-resnet50,https://tfhub.dev/deepmind/bigbigan-resnet50/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_152/feature_vector,https://tfhub.dev/google/imagenet/resnet_v2_152/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/lite2/classification,https://tfhub.dev/tensorflow/efficientnet/lite2/classification/2?tf-hub-format=compressed
|
||||
experts/bert/pubmed,https://tfhub.dev/google/experts/bert/pubmed/2?tf-hub-format=compressed
|
||||
faster_rcnn/inception_resnet_v2_1024x1024,https://tfhub.dev/tensorflow/faster_rcnn/inception_resnet_v2_1024x1024/1?tf-hub-format=compressed
|
||||
ssd_mobilenet_v2/fpnlite_640x640,https://tfhub.dev/tensorflow/ssd_mobilenet_v2/fpnlite_640x640/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v1_50/classification,https://tfhub.dev/google/imagenet/resnet_v1_50/classification/5?tf-hub-format=compressed
|
||||
movinet/a5/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a5/base/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
biggan-128,https://tfhub.dev/deepmind/biggan-128/2?tf-hub-format=compressed
|
||||
Wiki-words-250-with-normalization,https://tfhub.dev/google/Wiki-words-250-with-normalization/2?tf-hub-format=compressed
|
||||
sentence-t5/st5-base,https://tfhub.dev/google/sentence-t5/st5-base/1?tf-hub-format=compressed
|
||||
movinet/a2/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a2/base/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
bert_zh_preprocess,https://tfhub.dev/tensorflow/bert_zh_preprocess/3?tf-hub-format=compressed
|
||||
bert_en_cased_L-24_H-1024_A-16,https://tfhub.dev/tensorflow/bert_en_cased_L-24_H-1024_A-16/4?tf-hub-format=compressed
|
||||
inaturalist/inception_v3/feature_vector,https://tfhub.dev/google/inaturalist/inception_v3/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/lite1/classification,https://tfhub.dev/tensorflow/efficientnet/lite1/classification/2?tf-hub-format=compressed
|
||||
wav2vec2,https://tfhub.dev/vasudevgupta7/wav2vec2/1?tf-hub-format=compressed
|
||||
experts/bert/wiki_books,https://tfhub.dev/google/experts/bert/wiki_books/2?tf-hub-format=compressed
|
||||
retinanet/resnet50_v1_fpn_640x640,https://tfhub.dev/tensorflow/retinanet/resnet50_v1_fpn_640x640/1?tf-hub-format=compressed
|
||||
bert_en_wwm_uncased_L-24_H-1024_A-16,https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/4?tf-hub-format=compressed
|
||||
cropnet/classifier/cassava_disease_V1,https://tfhub.dev/google/cropnet/classifier/cassava_disease_V1/2?tf-hub-format=compressed
|
||||
midas/v2_1_small,https://tfhub.dev/intel/midas/v2_1_small/1?tf-hub-format=compressed
|
||||
object_detection/mobile_object_labeler_v1,https://tfhub.dev/google/object_detection/mobile_object_labeler_v1/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_101/classification,https://tfhub.dev/google/imagenet/resnet_v2_101/classification/5?tf-hub-format=compressed
|
||||
electra_base,https://tfhub.dev/google/electra_base/2?tf-hub-format=compressed
|
||||
efficientdet/d4,https://tfhub.dev/tensorflow/efficientdet/d4/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-6_H-512_A-8,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-6_H-512_A-8/2?tf-hub-format=compressed
|
||||
mobilebert_multi_cased_L-24_H-128_B-512_A-4_F-4_OPT,https://tfhub.dev/tensorflow/mobilebert_multi_cased_L-24_H-128_B-512_A-4_F-4_OPT/1?tf-hub-format=compressed
|
||||
i3d-kinetics-600,https://tfhub.dev/deepmind/i3d-kinetics-600/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_s/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_s/feature_vector/2?tf-hub-format=compressed
|
||||
efficientdet/d1,https://tfhub.dev/tensorflow/efficientdet/d1/1?tf-hub-format=compressed
|
||||
nnlm-de-dim50,https://tfhub.dev/google/nnlm-de-dim50/2?tf-hub-format=compressed
|
||||
ganeval-cifar10-convnet,https://tfhub.dev/deepmind/ganeval-cifar10-convnet/1?tf-hub-format=compressed
|
||||
musiq/ava,https://tfhub.dev/google/musiq/ava/1?tf-hub-format=compressed
|
||||
talkheads_ggelu_bert_en_base,https://tfhub.dev/tensorflow/talkheads_ggelu_bert_en_base/2?tf-hub-format=compressed
|
||||
nnlm-es-dim128,https://tfhub.dev/google/nnlm-es-dim128/2?tf-hub-format=compressed
|
||||
esrgan-tf2,https://tfhub.dev/captain-pool/esrgan-tf2/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v3_small_075_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v3_small_075_224/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/b2/feature-vector,https://tfhub.dev/tensorflow/efficientnet/b2/feature-vector/1?tf-hub-format=compressed
|
||||
efficientnet/b7/classification,https://tfhub.dev/tensorflow/efficientnet/b7/classification/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-12_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-12_H-256_A-4/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_xl/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_xl/feature_vector/2?tf-hub-format=compressed
|
||||
ssd_mobilenet_v1/fpn_640x640,https://tfhub.dev/tensorflow/ssd_mobilenet_v1/fpn_640x640/1?tf-hub-format=compressed
|
||||
mil-nce/s3d,https://tfhub.dev/deepmind/mil-nce/s3d/1?tf-hub-format=compressed
|
||||
imagenet/nasnet_mobile/feature_vector,https://tfhub.dev/google/imagenet/nasnet_mobile/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/b4/feature-vector,https://tfhub.dev/google/efficientnet/b4/feature-vector/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_m/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_m/feature_vector/2?tf-hub-format=compressed
|
||||
efficientdet/d2,https://tfhub.dev/tensorflow/efficientdet/d2/1?tf-hub-format=compressed
|
||||
Wiki-words-500,https://tfhub.dev/google/Wiki-words-500/2?tf-hub-format=compressed
|
||||
imagenet/inception_v2/feature_vector,https://tfhub.dev/google/imagenet/inception_v2/feature_vector/5?tf-hub-format=compressed
|
||||
disease-classification,https://tfhub.dev/agripredict/disease-classification/1?tf-hub-format=compressed
|
||||
biggan-deep-128,https://tfhub.dev/deepmind/biggan-deep-128/1?tf-hub-format=compressed
|
||||
bit/m-r101x3,https://tfhub.dev/google/bit/m-r101x3/1?tf-hub-format=compressed
|
||||
centernet/hourglass_1024x1024,https://tfhub.dev/tensorflow/centernet/hourglass_1024x1024/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-12_H-128_A-2,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-12_H-128_A-2/2?tf-hub-format=compressed
|
||||
centernet/resnet50v2_512x512,https://tfhub.dev/tensorflow/centernet/resnet50v2_512x512/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_152/classification,https://tfhub.dev/google/imagenet/resnet_v2_152/classification/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_075_160/feature_vector/5?tf-hub-format=compressed
|
||||
aiy/vision/classifier/plants_V1,https://tfhub.dev/google/aiy/vision/classifier/plants_V1/1?tf-hub-format=compressed
|
||||
imagenet/pnasnet_large/feature_vector,https://tfhub.dev/google/imagenet/pnasnet_large/feature_vector/5?tf-hub-format=compressed
|
||||
faster_rcnn/resnet101_v1_640x640,https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_640x640/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_130_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_130_224/feature_vector/5?tf-hub-format=compressed
|
||||
nnlm-es-dim128-with-normalization,https://tfhub.dev/google/nnlm-es-dim128-with-normalization/2?tf-hub-format=compressed
|
||||
bit/m-r50x1/imagenet21k_classification,https://tfhub.dev/google/bit/m-r50x1/imagenet21k_classification/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v1_101/feature_vector,https://tfhub.dev/google/imagenet/resnet_v1_101/feature_vector/5?tf-hub-format=compressed
|
||||
experts/bert/wiki_books/sst2,https://tfhub.dev/google/experts/bert/wiki_books/sst2/2?tf-hub-format=compressed
|
||||
retinanet/resnet152_v1_fpn_1024x1024,https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_1024x1024/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-6_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-6_H-256_A-4/2?tf-hub-format=compressed
|
||||
movinet/a0/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a0/base/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b0/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b0/feature_vector/2?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_101/feature_vector,https://tfhub.dev/google/imagenet/resnet_v2_101/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_l/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_l/feature_vector/2?tf-hub-format=compressed
|
||||
imagenet/nasnet_large/classification,https://tfhub.dev/google/imagenet/nasnet_large/classification/5?tf-hub-format=compressed
|
||||
faster_rcnn/resnet152_v1_1024x1024,https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_1024x1024/1?tf-hub-format=compressed
|
||||
vit_s16_fe,https://tfhub.dev/sayakpaul/vit_s16_fe/1?tf-hub-format=compressed
|
||||
zh_segmentation,https://tfhub.dev/google/zh_segmentation/1?tf-hub-format=compressed
|
||||
wiki40b-lm-es,https://tfhub.dev/google/wiki40b-lm-es/1?tf-hub-format=compressed
|
||||
centernet/resnet50v1_fpn_512x512_kpts,https://tfhub.dev/tensorflow/centernet/resnet50v1_fpn_512x512_kpts/1?tf-hub-format=compressed
|
||||
nnlm-es-dim50-with-normalization,https://tfhub.dev/google/nnlm-es-dim50-with-normalization/2?tf-hub-format=compressed
|
||||
efficientdet/d6,https://tfhub.dev/tensorflow/efficientdet/d6/1?tf-hub-format=compressed
|
||||
cord-19/swivel-128d,https://tfhub.dev/tensorflow/cord-19/swivel-128d/3?tf-hub-format=compressed
|
||||
albert_large,https://tfhub.dev/google/albert_large/3?tf-hub-format=compressed
|
||||
centernet/resnet50v2_512x512_kpts,https://tfhub.dev/tensorflow/centernet/resnet50v2_512x512_kpts/1?tf-hub-format=compressed
|
||||
efficientnet/b7/feature-vector,https://tfhub.dev/google/efficientnet/b7/feature-vector/1?tf-hub-format=compressed
|
||||
efficientnet/b5/feature-vector,https://tfhub.dev/tensorflow/efficientnet/b5/feature-vector/1?tf-hub-format=compressed
|
||||
imagenet/nasnet_large/feature_vector,https://tfhub.dev/google/imagenet/nasnet_large/feature_vector/5?tf-hub-format=compressed
|
||||
centernet/resnet101v1_fpn_512x512,https://tfhub.dev/tensorflow/centernet/resnet101v1_fpn_512x512/1?tf-hub-format=compressed
|
||||
retinanet/resnet152_v1_fpn_640x640,https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_640x640/1?tf-hub-format=compressed
|
||||
movinet/a0/stream/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a0/stream/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/feature_vector/5?tf-hub-format=compressed
|
||||
unet/industrial/class_1,https://tfhub.dev/nvidia/unet/industrial/class_1/1?tf-hub-format=compressed
|
||||
mobilebert_en_uncased_L-24_H-128_B-512_A-4_F-4_OPT,https://tfhub.dev/tensorflow/mobilebert_en_uncased_L-24_H-128_B-512_A-4_F-4_OPT/1?tf-hub-format=compressed
|
||||
boundless/quarter,https://tfhub.dev/google/boundless/quarter/1?tf-hub-format=compressed
|
||||
gtr/gtr-base,https://tfhub.dev/google/gtr/gtr-base/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-12_H-512_A-8,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-12_H-512_A-8/2?tf-hub-format=compressed
|
||||
LAReQA/mBERT_En_En,https://tfhub.dev/google/LAReQA/mBERT_En_En/1?tf-hub-format=compressed
|
||||
efficientdet/d5,https://tfhub.dev/tensorflow/efficientdet/d5/1?tf-hub-format=compressed
|
||||
faster_rcnn/resnet101_v1_1024x1024,https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_1024x1024/1?tf-hub-format=compressed
|
||||
film,https://tfhub.dev/google/film/1?tf-hub-format=compressed
|
||||
electra_large,https://tfhub.dev/google/electra_large/2?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-2_H-128_A-2,https://tfhub.dev/google/small_bert/bert_uncased_L-2_H-128_A-2/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/classification/5?tf-hub-format=compressed
|
||||
efficientdet/d3,https://tfhub.dev/tensorflow/efficientdet/d3/1?tf-hub-format=compressed
|
||||
distilbert_en_uncased_preprocess,https://tfhub.dev/jeongukjae/distilbert_en_uncased_preprocess/2?tf-hub-format=compressed
|
||||
movinet/a2/stream/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a2/stream/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
movinet/a4/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a4/base/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
efficientnet/b6/feature-vector,https://tfhub.dev/google/efficientnet/b6/feature-vector/1?tf-hub-format=compressed
|
||||
nnlm-zh-dim50,https://tfhub.dev/google/nnlm-zh-dim50/2?tf-hub-format=compressed
|
||||
nnlm-id-dim128-with-normalization,https://tfhub.dev/google/nnlm-id-dim128-with-normalization/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_b3/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b3/feature_vector/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b3/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b3/feature_vector/2?tf-hub-format=compressed
|
||||
humpback_whale,https://tfhub.dev/google/humpback_whale/1?tf-hub-format=compressed
|
||||
nnlm-id-dim50,https://tfhub.dev/google/nnlm-id-dim50/2?tf-hub-format=compressed
|
||||
nonsemantic-speech-benchmark/frill,https://tfhub.dev/google/nonsemantic-speech-benchmark/frill/1?tf-hub-format=compressed
|
||||
vit_s16_classification,https://tfhub.dev/sayakpaul/vit_s16_classification/1?tf-hub-format=compressed
|
||||
faster_rcnn/resnet152_v1_800x1333,https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_800x1333/1?tf-hub-format=compressed
|
||||
bit/s-r152x4,https://tfhub.dev/google/bit/s-r152x4/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v1_101/classification,https://tfhub.dev/google/imagenet/resnet_v1_101/classification/5?tf-hub-format=compressed
|
||||
faster_rcnn/resnet50_v1_800x1333,https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_800x1333/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_l/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_l/feature_vector/2?tf-hub-format=compressed
|
||||
distilbert_multi_cased_L-6_H-768_A-12,https://tfhub.dev/jeongukjae/distilbert_multi_cased_L-6_H-768_A-12/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_050_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_050_224/feature_vector/5?tf-hub-format=compressed
|
||||
roberta_en_cased_preprocess,https://tfhub.dev/jeongukjae/roberta_en_cased_preprocess/1?tf-hub-format=compressed
|
||||
efficientnet/b3/feature-vector,https://tfhub.dev/google/efficientnet/b3/feature-vector/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-8_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-8_H-256_A-4/2?tf-hub-format=compressed
|
||||
efficientnet/b7/classification,https://tfhub.dev/google/efficientnet/b7/classification/1?tf-hub-format=compressed
|
||||
bit/s-r50x1/ilsvrc2012_classification,https://tfhub.dev/google/bit/s-r50x1/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-ko-dim128-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-ko-dim128-with-normalization/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_100_160/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_128/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_128/classification/5?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/food,https://tfhub.dev/google/experts/bit/r50x1/in21k/food/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v1_152/feature_vector,https://tfhub.dev/google/imagenet/resnet_v1_152/feature_vector/5?tf-hub-format=compressed
|
||||
faster_rcnn/resnet101_v1_800x1333,https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_800x1333/1?tf-hub-format=compressed
|
||||
bit/s-r50x3,https://tfhub.dev/google/bit/s-r50x3/1?tf-hub-format=compressed
|
||||
smaller_LaBSE_15lang,https://tfhub.dev/jeongukjae/smaller_LaBSE_15lang/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_96/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_100_96/classification/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_192/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_100_192/feature_vector/5?tf-hub-format=compressed
|
||||
tiny_video_net/tvn1,https://tfhub.dev/google/tiny_video_net/tvn1/1?tf-hub-format=compressed
|
||||
nnlm-id-dim128,https://tfhub.dev/google/nnlm-id-dim128/2?tf-hub-format=compressed
|
||||
lambert_en_uncased_L-24_H-1024_A-16,https://tfhub.dev/tensorflow/lambert_en_uncased_L-24_H-1024_A-16/2?tf-hub-format=compressed
|
||||
imagenet/amoebanet_a_n18_f448/classification,https://tfhub.dev/google/imagenet/amoebanet_a_n18_f448/classification/1?tf-hub-format=compressed
|
||||
retinanet/resnet101_v1_fpn_1024x1024,https://tfhub.dev/tensorflow/retinanet/resnet101_v1_fpn_1024x1024/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_192/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_025_192/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_160/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_100_160/classification/5?tf-hub-format=compressed
|
||||
imagenet/inception_v2/classification,https://tfhub.dev/google/imagenet/inception_v2/classification/5?tf-hub-format=compressed
|
||||
efficientnet/b5/feature-vector,https://tfhub.dev/google/efficientnet/b5/feature-vector/1?tf-hub-format=compressed
|
||||
distilbert_multi_cased_preprocess,https://tfhub.dev/jeongukjae/distilbert_multi_cased_preprocess/2?tf-hub-format=compressed
|
||||
nnlm-de-dim128,https://tfhub.dev/google/nnlm-de-dim128/2?tf-hub-format=compressed
|
||||
bertseq2seq/roberta24_gigaword,https://tfhub.dev/google/bertseq2seq/roberta24_gigaword/1?tf-hub-format=compressed
|
||||
vit_b8_fe,https://tfhub.dev/sayakpaul/vit_b8_fe/1?tf-hub-format=compressed
|
||||
aiy/vision/classifier/insects_V1,https://tfhub.dev/google/aiy/vision/classifier/insects_V1/1?tf-hub-format=compressed
|
||||
bertseq2seq/roberta24_cnndm,https://tfhub.dev/google/bertseq2seq/roberta24_cnndm/1?tf-hub-format=compressed
|
||||
movinet/a1/base/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a1/base/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
remote_sensing/eurosat-resnet50,https://tfhub.dev/google/remote_sensing/eurosat-resnet50/1?tf-hub-format=compressed
|
||||
universal-sentence-encoder-cmlm/en-large,https://tfhub.dev/google/universal-sentence-encoder-cmlm/en-large/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_050_96/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_050_96/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/b3/classification,https://tfhub.dev/tensorflow/efficientnet/b3/classification/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b1/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b1/feature_vector/2?tf-hub-format=compressed
|
||||
universal-sentence-encoder-xling/en-de,https://tfhub.dev/google/universal-sentence-encoder-xling/en-de/1?tf-hub-format=compressed
|
||||
bit/s-r101x1,https://tfhub.dev/google/bit/s-r101x1/1?tf-hub-format=compressed
|
||||
smaller_LaBSE_15lang_preprocess,https://tfhub.dev/jeongukjae/smaller_LaBSE_15lang_preprocess/1?tf-hub-format=compressed
|
||||
vgg19-block5-conv2-unpooling-decoder,https://tfhub.dev/emilutz/vgg19-block5-conv2-unpooling-decoder/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_050_224/classification/5?tf-hub-format=compressed
|
||||
efficientnet/b5/classification,https://tfhub.dev/tensorflow/efficientnet/b5/classification/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b3/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b3/feature_vector/2?tf-hub-format=compressed
|
||||
experts/bert/wiki_books/mnli,https://tfhub.dev/google/experts/bert/wiki_books/mnli/2?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-en-dim50-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-en-dim50-with-normalization/1?tf-hub-format=compressed
|
||||
efficientnet/b1/feature-vector,https://tfhub.dev/google/efficientnet/b1/feature-vector/1?tf-hub-format=compressed
|
||||
cropnet/feature_vector/concat,https://tfhub.dev/google/cropnet/feature_vector/concat/1?tf-hub-format=compressed
|
||||
efficientnet/b5/classification,https://tfhub.dev/google/efficientnet/b5/classification/1?tf-hub-format=compressed
|
||||
bit/m-r101x1/ilsvrc2012_classification,https://tfhub.dev/google/bit/m-r101x1/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_l/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_l/classification/2?tf-hub-format=compressed
|
||||
nnlm-zh-dim128,https://tfhub.dev/google/nnlm-zh-dim128/2?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-ja-dim128-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-ja-dim128-with-normalization/1?tf-hub-format=compressed
|
||||
imagenet/resnet_v1_152/classification,https://tfhub.dev/google/imagenet/resnet_v1_152/classification/5?tf-hub-format=compressed
|
||||
covid-twitter-bert,https://tfhub.dev/digitalepidemiologylab/covid-twitter-bert/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b0/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b0/classification/2?tf-hub-format=compressed
|
||||
silero-stt/en,https://tfhub.dev/silero/silero-stt/en/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/clothing,https://tfhub.dev/google/experts/bit/r50x1/in21k/clothing/1?tf-hub-format=compressed
|
||||
roberta_en_cased_L-12_H-768_A-12,https://tfhub.dev/jeongukjae/roberta_en_cased_L-12_H-768_A-12/1?tf-hub-format=compressed
|
||||
on_device_vision/classifier/landmarks_classifier_north_america_V1,https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_north_america_V1/1?tf-hub-format=compressed
|
||||
bit/s-r50x3/ilsvrc2012_classification,https://tfhub.dev/google/bit/s-r50x3/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
cond-biggan,https://tfhub.dev/vtab/cond-biggan/1?tf-hub-format=compressed
|
||||
LAReQA/mBERT_X_Y,https://tfhub.dev/google/LAReQA/mBERT_X_Y/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_192/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_100_192/classification/5?tf-hub-format=compressed
|
||||
nnlm-es-dim50,https://tfhub.dev/google/nnlm-es-dim50/2?tf-hub-format=compressed
|
||||
supcon/resnet_v1_50/imagenet/classification,https://tfhub.dev/google/supcon/resnet_v1_50/imagenet/classification/1?tf-hub-format=compressed
|
||||
nnlm-zh-dim128-with-normalization,https://tfhub.dev/google/nnlm-zh-dim128-with-normalization/2?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/animal,https://tfhub.dev/google/experts/bit/r50x1/in21k/animal/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_96/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_035_96/feature_vector/5?tf-hub-format=compressed
|
||||
edgetpu/vision/deeplab-edgetpu/fused_argmax/xs,https://tfhub.dev/google/edgetpu/vision/deeplab-edgetpu/fused_argmax/xs/1?tf-hub-format=compressed
|
||||
efficientnet/b2/classification,https://tfhub.dev/tensorflow/efficientnet/b2/classification/1?tf-hub-format=compressed
|
||||
sentence-t5/st5-large,https://tfhub.dev/google/sentence-t5/st5-large/1?tf-hub-format=compressed
|
||||
on_device_vision/classifier/landmarks_classifier_europe_V1,https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_europe_V1/1?tf-hub-format=compressed
|
||||
bit/m-r50x3/imagenet21k_classification,https://tfhub.dev/google/bit/m-r50x3/imagenet21k_classification/1?tf-hub-format=compressed
|
||||
mmv/s3d,https://tfhub.dev/deepmind/mmv/s3d/1?tf-hub-format=compressed
|
||||
soundstream/mel/decoder/music,https://tfhub.dev/google/soundstream/mel/decoder/music/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_160/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_075_160/classification/5?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_s/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_s/classification/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_128/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_075_128/feature_vector/5?tf-hub-format=compressed
|
||||
ulmfit/en/sp35k_uncased,https://tfhub.dev/edrone/ulmfit/en/sp35k_uncased/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b0/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b0/classification/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_96/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_075_96/feature_vector/5?tf-hub-format=compressed
|
||||
bertseq2seq/roberta24_wikisplit,https://tfhub.dev/google/bertseq2seq/roberta24_wikisplit/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_128/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_100_128/feature_vector/5?tf-hub-format=compressed
|
||||
regnety800mf_classification,https://tfhub.dev/adityakane2001/regnety800mf_classification/1?tf-hub-format=compressed
|
||||
mmv/tsm-resnet50x2,https://tfhub.dev/deepmind/mmv/tsm-resnet50x2/1?tf-hub-format=compressed
|
||||
vgg19-block1-conv2-unpooling-encoder,https://tfhub.dev/emilutz/vgg19-block1-conv2-unpooling-encoder/1?tf-hub-format=compressed
|
||||
efficientnet/b2/classification,https://tfhub.dev/google/efficientnet/b2/classification/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_050_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_050_160/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_075_224/feature_vector/5?tf-hub-format=compressed
|
||||
cropnet/feature_vector/imagenet,https://tfhub.dev/google/cropnet/feature_vector/imagenet/1?tf-hub-format=compressed
|
||||
nnlm-ko-dim50-with-normalization,https://tfhub.dev/google/nnlm-ko-dim50-with-normalization/2?tf-hub-format=compressed
|
||||
vgg19-block2-conv2-unpooling-encoder,https://tfhub.dev/emilutz/vgg19-block2-conv2-unpooling-encoder/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/solid,https://tfhub.dev/google/experts/bit/r50x1/in21k/solid/1?tf-hub-format=compressed
|
||||
efficientnet/b4/classification,https://tfhub.dev/google/efficientnet/b4/classification/1?tf-hub-format=compressed
|
||||
regnety400mf_classification,https://tfhub.dev/adityakane2001/regnety400mf_classification/1?tf-hub-format=compressed
|
||||
bit/m-r152x4/ilsvrc2012_classification,https://tfhub.dev/google/bit/m-r152x4/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
nnlm-zh-dim50-with-normalization,https://tfhub.dev/google/nnlm-zh-dim50-with-normalization/2?tf-hub-format=compressed
|
||||
on_device_vision/classifier/landmarks_classifier_south_america_V1,https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_south_america_V1/1?tf-hub-format=compressed
|
||||
unsupervised-adversarial-training/cifar10/wrn_106,https://tfhub.dev/deepmind/unsupervised-adversarial-training/cifar10/wrn_106/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-de-dim128-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-de-dim128-with-normalization/1?tf-hub-format=compressed
|
||||
wiki40b-lm-zh-cn,https://tfhub.dev/google/wiki40b-lm-zh-cn/1?tf-hub-format=compressed
|
||||
on_device_vision/classifier/landmarks_classifier_africa_V1,https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_africa_V1/1?tf-hub-format=compressed
|
||||
regnety200mf_classification,https://tfhub.dev/adityakane2001/regnety200mf_classification/1?tf-hub-format=compressed
|
||||
talkheads_ggelu_bert_en_large,https://tfhub.dev/tensorflow/talkheads_ggelu_bert_en_large/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_m/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_m/classification/2?tf-hub-format=compressed
|
||||
HRNet/coco-hrnetv2-w48,https://tfhub.dev/google/HRNet/coco-hrnetv2-w48/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_050_192/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_050_192/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_128/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_050_128/feature_vector/5?tf-hub-format=compressed
|
||||
experts/bert/pubmed/squad2,https://tfhub.dev/google/experts/bert/pubmed/squad2/2?tf-hub-format=compressed
|
||||
german-mbmelgan,https://tfhub.dev/monatis/german-mbmelgan/1?tf-hub-format=compressed
|
||||
supcon/resnet_v1_101/imagenet/classification,https://tfhub.dev/google/supcon/resnet_v1_101/imagenet/classification/1?tf-hub-format=compressed
|
||||
wiki40b-lm-fr,https://tfhub.dev/google/wiki40b-lm-fr/1?tf-hub-format=compressed
|
||||
bit/m-r101x3/ilsvrc2012_classification,https://tfhub.dev/google/bit/m-r101x3/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_100_160/feature_vector/5?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_128/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_035_128/classification/5?tf-hub-format=compressed
|
||||
edgetpu/vision/autoseg-edgetpu/fused_argmax/xs,https://tfhub.dev/google/edgetpu/vision/autoseg-edgetpu/fused_argmax/xs/1?tf-hub-format=compressed
|
||||
bit/s-r101x1/ilsvrc2012_classification,https://tfhub.dev/google/bit/s-r101x1/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
german-tacotron2,https://tfhub.dev/monatis/german-tacotron2/1?tf-hub-format=compressed
|
||||
convnext_xlarge_21k_224,https://tfhub.dev/sayakpaul/convnext_xlarge_21k_224/1?tf-hub-format=compressed
|
||||
gtr/gtr-large,https://tfhub.dev/google/gtr/gtr-large/1?tf-hub-format=compressed
|
||||
AraBERT,https://tfhub.dev/callmemehdi/AraBERT/1?tf-hub-format=compressed
|
||||
trillsson1,https://tfhub.dev/google/trillsson1/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_128/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_050_128/classification/5?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-de-dim50-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-de-dim50-with-normalization/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_192/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_100_192/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/b6/classification,https://tfhub.dev/tensorflow/efficientnet/b6/classification/1?tf-hub-format=compressed
|
||||
vit_b8_classification,https://tfhub.dev/sayakpaul/vit_b8_classification/1?tf-hub-format=compressed
|
||||
universal-sentence-encoder-xling/en-es,https://tfhub.dev/google/universal-sentence-encoder-xling/en-es/1?tf-hub-format=compressed
|
||||
mil-nce/i3d,https://tfhub.dev/deepmind/mil-nce/i3d/1?tf-hub-format=compressed
|
||||
vit_l16_fe,https://tfhub.dev/sayakpaul/vit_l16_fe/1?tf-hub-format=compressed
|
||||
nonsemantic-speech-benchmark/frill-nofrontend,https://tfhub.dev/google/nonsemantic-speech-benchmark/frill-nofrontend/1?tf-hub-format=compressed
|
||||
vit_r50_l32_fe,https://tfhub.dev/sayakpaul/vit_r50_l32_fe/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b2/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b2/feature_vector/2?tf-hub-format=compressed
|
||||
remote_sensing/so2sat-resnet50,https://tfhub.dev/google/remote_sensing/so2sat-resnet50/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b3/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b3/classification/2?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/spermatophyte,https://tfhub.dev/google/experts/bit/r50x1/in21k/spermatophyte/1?tf-hub-format=compressed
|
||||
uncond-biggan,https://tfhub.dev/vtab/uncond-biggan/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_l/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_l/classification/2?tf-hub-format=compressed
|
||||
tiny_video_net/tvn3,https://tfhub.dev/google/tiny_video_net/tvn3/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_192/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_035_192/classification/5?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-ko-dim50,https://tfhub.dev/google/tf2-preview/nnlm-ko-dim50/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_160/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_035_160/classification/5?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-4_H-128_A-2,https://tfhub.dev/google/small_bert/bert_uncased_L-4_H-128_A-2/2?tf-hub-format=compressed
|
||||
bit/m-r101x1/imagenet21k_classification,https://tfhub.dev/google/bit/m-r101x1/imagenet21k_classification/1?tf-hub-format=compressed
|
||||
efficientnet/b3/classification,https://tfhub.dev/google/efficientnet/b3/classification/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_b2/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b2/classification/2?tf-hub-format=compressed
|
||||
wav2vec2-xlsr-53,https://tfhub.dev/vasudevgupta7/wav2vec2-xlsr-53/1?tf-hub-format=compressed
|
||||
unet/industrial/class_10,https://tfhub.dev/nvidia/unet/industrial/class_10/1?tf-hub-format=compressed
|
||||
movinet/a5/stream/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a5/stream/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
vit_r26_s32_lightaug_fe,https://tfhub.dev/sayakpaul/vit_r26_s32_lightaug_fe/1?tf-hub-format=compressed
|
||||
mmt/architecture_image-q-24,https://tfhub.dev/deepmind/mmt/architecture_image-q-24/1?tf-hub-format=compressed
|
||||
wiki40b-lm-nl,https://tfhub.dev/google/wiki40b-lm-nl/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_m/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_m/classification/2?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-zh-dim50,https://tfhub.dev/google/tf2-preview/nnlm-zh-dim50/1?tf-hub-format=compressed
|
||||
edgetpu/vision/deeplab-edgetpu/fused_argmax/s,https://tfhub.dev/google/edgetpu/vision/deeplab-edgetpu/fused_argmax/s/1?tf-hub-format=compressed
|
||||
compare_gan/model_9_celebahq128_resnet19,https://tfhub.dev/google/compare_gan/model_9_celebahq128_resnet19/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-zh-dim128,https://tfhub.dev/google/tf2-preview/nnlm-zh-dim128/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_025_160/feature_vector/5?tf-hub-format=compressed
|
||||
tweening_conv3d_kth,https://tfhub.dev/google/tweening_conv3d_kth/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_b1/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b1/classification/2?tf-hub-format=compressed
|
||||
edgetpu/vision/autoseg-edgetpu/default_argmax/s,https://tfhub.dev/google/edgetpu/vision/autoseg-edgetpu/default_argmax/s/1?tf-hub-format=compressed
|
||||
LAReQA/mBERT_X_X_mono,https://tfhub.dev/google/LAReQA/mBERT_X_X_mono/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/object,https://tfhub.dev/google/experts/bit/r50x1/in21k/object/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-10_H-256_A-4,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-10_H-256_A-4/2?tf-hub-format=compressed
|
||||
supcon/resnet_v1_200/imagenet/classification,https://tfhub.dev/google/supcon/resnet_v1_200/imagenet/classification/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-6_H-128_A-2,https://tfhub.dev/google/small_bert/bert_uncased_L-6_H-128_A-2/2?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-ja-dim50,https://tfhub.dev/google/tf2-preview/nnlm-ja-dim50/1?tf-hub-format=compressed
|
||||
nnlm-ko-dim50,https://tfhub.dev/google/nnlm-ko-dim50/2?tf-hub-format=compressed
|
||||
compare_gan/model_12_cifar10_resnet_cifar,https://tfhub.dev/google/compare_gan/model_12_cifar10_resnet_cifar/1?tf-hub-format=compressed
|
||||
spiral/default-fluid-gansn-celebahq64-gen-19steps,https://tfhub.dev/deepmind/spiral/default-fluid-gansn-celebahq64-gen-19steps/1?tf-hub-format=compressed
|
||||
compare_gan/s3gan_5_128x128,https://tfhub.dev/google/compare_gan/s3gan_5_128x128/1?tf-hub-format=compressed
|
||||
convnext_base_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_base_1k_224_fe/1?tf-hub-format=compressed
|
||||
convnext_base_1k_384,https://tfhub.dev/sayakpaul/convnext_base_1k_384/1?tf-hub-format=compressed
|
||||
edgetpu/vision/mobilenet-edgetpu-v2/l,https://tfhub.dev/google/edgetpu/vision/mobilenet-edgetpu-v2/l/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-4_H-512_A-8,https://tfhub.dev/google/small_bert/bert_uncased_L-4_H-512_A-8/2?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/flower,https://tfhub.dev/google/experts/bit/r50x1/in21k/flower/1?tf-hub-format=compressed
|
||||
distill_bit_r50x1_160_feature_extraction,https://tfhub.dev/sayakpaul/distill_bit_r50x1_160_feature_extraction/1?tf-hub-format=compressed
|
||||
edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/l,https://tfhub.dev/google/edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/l/2?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent5,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent5/1?tf-hub-format=compressed
|
||||
image_augmentation/crop_rotate_color,https://tfhub.dev/google/image_augmentation/crop_rotate_color/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-id-dim50-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-id-dim50-with-normalization/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_192/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_035_192/feature_vector/5?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-12_H-768_A-12,https://tfhub.dev/google/small_bert/bert_uncased_L-12_H-768_A-12/2?tf-hub-format=compressed
|
||||
xlm_roberta_multi_cased_L-24_H-1024_A-16,https://tfhub.dev/jeongukjae/xlm_roberta_multi_cased_L-24_H-1024_A-16/1?tf-hub-format=compressed
|
||||
regnety600mf_classification,https://tfhub.dev/adityakane2001/regnety600mf_classification/1?tf-hub-format=compressed
|
||||
convnext_tiny_1k_224,https://tfhub.dev/sayakpaul/convnext_tiny_1k_224/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-es-dim128,https://tfhub.dev/google/tf2-preview/nnlm-es-dim128/1?tf-hub-format=compressed
|
||||
vision/embedder/fungi_V2,https://tfhub.dev/svampeatlas/vision/embedder/fungi_V2/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_128/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_050_128/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
wiki40b-lm-sr,https://tfhub.dev/google/wiki40b-lm-sr/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_160/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_075_160/classification/5?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-6_H-512_A-8,https://tfhub.dev/google/small_bert/bert_uncased_L-6_H-512_A-8/2?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-es-dim50,https://tfhub.dev/google/tf2-preview/nnlm-es-dim50/1?tf-hub-format=compressed
|
||||
sup-rotation-100,https://tfhub.dev/vtab/sup-rotation-100/1?tf-hub-format=compressed
|
||||
wiki40b-lm-ko,https://tfhub.dev/google/wiki40b-lm-ko/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_128/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_075_128/classification/5?tf-hub-format=compressed
|
||||
efficientdet/lite3x/feature-vector,https://tfhub.dev/tensorflow/efficientdet/lite3x/feature-vector/1?tf-hub-format=compressed
|
||||
mmt/baseline_baseline,https://tfhub.dev/deepmind/mmt/baseline_baseline/1?tf-hub-format=compressed
|
||||
boundless/three_quarter,https://tfhub.dev/google/boundless/three_quarter/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_160/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_160/classification/5?tf-hub-format=compressed
|
||||
unet/industrial/class_3,https://tfhub.dev/nvidia/unet/industrial/class_3/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_050_160/feature_vector/5?tf-hub-format=compressed
|
||||
musiq/koniq-10k,https://tfhub.dev/google/musiq/koniq-10k/1?tf-hub-format=compressed
|
||||
vision/embedder/inaturalist_V2,https://tfhub.dev/inaturalist/vision/embedder/inaturalist_V2/1?tf-hub-format=compressed
|
||||
relative-patch-location,https://tfhub.dev/vtab/relative-patch-location/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/mammal,https://tfhub.dev/google/experts/bit/r50x1/in21k/mammal/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_128/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_128/quantops/classification/3?tf-hub-format=compressed
|
||||
ulmfit/en/sp35k_cased,https://tfhub.dev/edrone/ulmfit/en/sp35k_cased/1?tf-hub-format=compressed
|
||||
edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/tiny,https://tfhub.dev/google/edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/tiny/2?tf-hub-format=compressed
|
||||
sentence-t5/st5-3b,https://tfhub.dev/google/sentence-t5/st5-3b/1?tf-hub-format=compressed
|
||||
tf2nq,https://tfhub.dev/prvi/tf2nq/1?tf-hub-format=compressed
|
||||
bertseq2seq/bert24_en_de,https://tfhub.dev/google/bertseq2seq/bert24_en_de/1?tf-hub-format=compressed
|
||||
edgetpu/nlp/mobilebert-edgetpu/m,https://tfhub.dev/google/edgetpu/nlp/mobilebert-edgetpu/m/1?tf-hub-format=compressed
|
||||
vit_b32_fe,https://tfhub.dev/sayakpaul/vit_b32_fe/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/structure,https://tfhub.dev/google/experts/bit/r50x1/in21k/structure/1?tf-hub-format=compressed
|
||||
vit_b32_classification,https://tfhub.dev/sayakpaul/vit_b32_classification/1?tf-hub-format=compressed
|
||||
wiki40b-lm-ca,https://tfhub.dev/google/wiki40b-lm-ca/1?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent3,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent3/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_224/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/quantops/classification/3?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_128/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_128/quantops/classification/3?tf-hub-format=compressed
|
||||
bit/s-r152x4/ilsvrc2012_classification,https://tfhub.dev/google/bit/s-r152x4/ilsvrc2012_classification/1?tf-hub-format=compressed
|
||||
ulmfit/pl/sp50k_uncased,https://tfhub.dev/edrone/ulmfit/pl/sp50k_uncased/1?tf-hub-format=compressed
|
||||
vgg19-block3-conv2-unpooling-encoder,https://tfhub.dev/emilutz/vgg19-block3-conv2-unpooling-encoder/1?tf-hub-format=compressed
|
||||
experts/bert/wiki_books/qqp,https://tfhub.dev/google/experts/bert/wiki_books/qqp/2?tf-hub-format=compressed
|
||||
remote_sensing/uc_merced-resnet50,https://tfhub.dev/google/remote_sensing/uc_merced-resnet50/1?tf-hub-format=compressed
|
||||
mixer_b16_i1k_fe,https://tfhub.dev/sayakpaul/mixer_b16_i1k_fe/1?tf-hub-format=compressed
|
||||
mmt/loss_single-modality-contrastive1024,https://tfhub.dev/deepmind/mmt/loss_single-modality-contrastive1024/1?tf-hub-format=compressed
|
||||
regnety600mf_feature_extractor,https://tfhub.dev/adityakane2001/regnety600mf_feature_extractor/1?tf-hub-format=compressed
|
||||
exemplar,https://tfhub.dev/vtab/exemplar/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_192/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_192/classification/5?tf-hub-format=compressed
|
||||
wiki40b-lm-tr,https://tfhub.dev/google/wiki40b-lm-tr/1?tf-hub-format=compressed
|
||||
mixer_b16_sam_fe,https://tfhub.dev/sayakpaul/mixer_b16_sam_fe/1?tf-hub-format=compressed
|
||||
logit_reconstruction/robust,https://tfhub.dev/google/logit_reconstruction/robust/1?tf-hub-format=compressed
|
||||
mmt/baseline_baseline-no-bert-transfer,https://tfhub.dev/deepmind/mmt/baseline_baseline-no-bert-transfer/1?tf-hub-format=compressed
|
||||
nnlm-ko-dim128,https://tfhub.dev/google/nnlm-ko-dim128/2?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/angiosperm,https://tfhub.dev/google/experts/bit/r50x1/in21k/angiosperm/1?tf-hub-format=compressed
|
||||
vit_l16_classification,https://tfhub.dev/sayakpaul/vit_l16_classification/1?tf-hub-format=compressed
|
||||
wiki40b-lm-lt,https://tfhub.dev/google/wiki40b-lm-lt/1?tf-hub-format=compressed
|
||||
mixer_l16_i21k_classification,https://tfhub.dev/sayakpaul/mixer_l16_i21k_classification/1?tf-hub-format=compressed
|
||||
wiki40b-lm-pl,https://tfhub.dev/google/wiki40b-lm-pl/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b3/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b3/classification/2?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent8,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent8/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/carnivore,https://tfhub.dev/google/experts/bit/r50x1/in21k/carnivore/1?tf-hub-format=compressed
|
||||
HRNet/ade20k-hrnetv2-w48,https://tfhub.dev/google/HRNet/ade20k-hrnetv2-w48/1?tf-hub-format=compressed
|
||||
wae-gan,https://tfhub.dev/vtab/wae-gan/1?tf-hub-format=compressed
|
||||
mmt/architecture_image-q-12,https://tfhub.dev/deepmind/mmt/architecture_image-q-12/1?tf-hub-format=compressed
|
||||
MuRIL-Large,https://tfhub.dev/google/MuRIL-Large/1?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent9,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent9/1?tf-hub-format=compressed
|
||||
swin_large_patch4_window7_224_in22k_fe,https://tfhub.dev/sayakpaul/swin_large_patch4_window7_224_in22k_fe/1?tf-hub-format=compressed
|
||||
answer_equivalence/bem,https://tfhub.dev/google/answer_equivalence/bem/1?tf-hub-format=compressed
|
||||
wiki40b-lm-id,https://tfhub.dev/google/wiki40b-lm-id/1?tf-hub-format=compressed
|
||||
edgetpu/nlp/mobilebert-edgetpu/xs,https://tfhub.dev/google/edgetpu/nlp/mobilebert-edgetpu/xs/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/artifact,https://tfhub.dev/google/experts/bit/r50x1/in21k/artifact/1?tf-hub-format=compressed
|
||||
distilbert_en_cased_preprocess,https://tfhub.dev/jeongukjae/distilbert_en_cased_preprocess/2?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/conveyance,https://tfhub.dev/google/experts/bit/r50x1/in21k/conveyance/1?tf-hub-format=compressed
|
||||
wiki40b-lm-ar,https://tfhub.dev/google/wiki40b-lm-ar/1?tf-hub-format=compressed
|
||||
compare_gan/model_2_celebahq128_resnet19,https://tfhub.dev/google/compare_gan/model_2_celebahq128_resnet19/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/living_thing,https://tfhub.dev/google/experts/bit/r50x1/in21k/living_thing/1?tf-hub-format=compressed
|
||||
wae-mmd,https://tfhub.dev/vtab/wae-mmd/1?tf-hub-format=compressed
|
||||
american-sign-language,https://tfhub.dev/sayannath/american-sign-language/1?tf-hub-format=compressed
|
||||
vgg19-block4-conv2-unpooling-decoder,https://tfhub.dev/emilutz/vgg19-block4-conv2-unpooling-decoder/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/plant,https://tfhub.dev/google/experts/bit/r50x1/in21k/plant/1?tf-hub-format=compressed
|
||||
compare_gan/ssgan_128x128,https://tfhub.dev/google/compare_gan/ssgan_128x128/1?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent4,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent4/1?tf-hub-format=compressed
|
||||
image_augmentation/crop_color,https://tfhub.dev/google/image_augmentation/crop_color/1?tf-hub-format=compressed
|
||||
vae,https://tfhub.dev/vtab/vae/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/arthropod,https://tfhub.dev/google/experts/bit/r50x1/in21k/arthropod/1?tf-hub-format=compressed
|
||||
roberta_en_cased_L-24_H-1024_A-16,https://tfhub.dev/jeongukjae/roberta_en_cased_L-24_H-1024_A-16/1?tf-hub-format=compressed
|
||||
wiki40b-lm-fa,https://tfhub.dev/google/wiki40b-lm-fa/1?tf-hub-format=compressed
|
||||
vit_r26_s32_medaug_classification,https://tfhub.dev/sayakpaul/vit_r26_s32_medaug_classification/1?tf-hub-format=compressed
|
||||
remote_sensing/eurosat-ms-resnet50,https://tfhub.dev/google/remote_sensing/eurosat-ms-resnet50/1?tf-hub-format=compressed
|
||||
compare_gan/model_10_lsun_bedroom_resnet19,https://tfhub.dev/google/compare_gan/model_10_lsun_bedroom_resnet19/1?tf-hub-format=compressed
|
||||
convnext_xlarge_21k_1k_384_fe,https://tfhub.dev/sayakpaul/convnext_xlarge_21k_1k_384_fe/1?tf-hub-format=compressed
|
||||
mobilevit_xxs_1k_256_fe,https://tfhub.dev/sayannath/mobilevit_xxs_1k_256_fe/1?tf-hub-format=compressed
|
||||
mmt/data_cc,https://tfhub.dev/deepmind/mmt/data_cc/1?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent1,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent1/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-8_H-768_A-12,https://tfhub.dev/google/small_bert/bert_uncased_L-8_H-768_A-12/2?tf-hub-format=compressed
|
||||
edgetpu/vision/deeplab-edgetpu/fused_argmax/m,https://tfhub.dev/google/edgetpu/vision/deeplab-edgetpu/fused_argmax/m/1?tf-hub-format=compressed
|
||||
image_augmentation/nas_imagenet,https://tfhub.dev/google/image_augmentation/nas_imagenet/1?tf-hub-format=compressed
|
||||
mixer_b16_i21k_fe,https://tfhub.dev/sayakpaul/mixer_b16_i21k_fe/1?tf-hub-format=compressed
|
||||
nonsemantic-speech-benchmark/trillsson1,https://tfhub.dev/google/nonsemantic-speech-benchmark/trillsson1/1?tf-hub-format=compressed
|
||||
trillsson5,https://tfhub.dev/google/trillsson5/1?tf-hub-format=compressed
|
||||
logit_reconstruction/inceptionv3,https://tfhub.dev/google/logit_reconstruction/inceptionv3/1?tf-hub-format=compressed
|
||||
spiral/default-wgangp-celebahq64-gen-19steps/agent6,https://tfhub.dev/deepmind/spiral/default-wgangp-celebahq64-gen-19steps/agent6/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-id-dim128,https://tfhub.dev/google/tf2-preview/nnlm-id-dim128/1?tf-hub-format=compressed
|
||||
LEALLA/LEALLA-large,https://tfhub.dev/google/LEALLA/LEALLA-large/1?tf-hub-format=compressed
|
||||
compare_gan/model_13_cifar10_resnet_cifar,https://tfhub.dev/google/compare_gan/model_13_cifar10_resnet_cifar/1?tf-hub-format=compressed
|
||||
distilkobert_cased_L-3_H-768_A-12,https://tfhub.dev/jeongukjae/distilkobert_cased_L-3_H-768_A-12/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_192/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_100_192/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
vit_b16_classification,https://tfhub.dev/sayakpaul/vit_b16_classification/1?tf-hub-format=compressed
|
||||
convnext_base_21k_1k_224,https://tfhub.dev/sayakpaul/convnext_base_21k_1k_224/1?tf-hub-format=compressed
|
||||
compare_gan/model_11_cifar10_resnet_cifar,https://tfhub.dev/google/compare_gan/model_11_cifar10_resnet_cifar/1?tf-hub-format=compressed
|
||||
wiki40b-lm-fi,https://tfhub.dev/google/wiki40b-lm-fi/1?tf-hub-format=compressed
|
||||
vit_r26_s32_medaug_fe,https://tfhub.dev/sayakpaul/vit_r26_s32_medaug_fe/1?tf-hub-format=compressed
|
||||
distill_bit_r50x1_224_feature_extraction,https://tfhub.dev/sayakpaul/distill_bit_r50x1_224_feature_extraction/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-2_H-256_A-4,https://tfhub.dev/google/small_bert/bert_uncased_L-2_H-256_A-4/2?tf-hub-format=compressed
|
||||
edgetpu/vision/autoseg-edgetpu/fused_argmax/s,https://tfhub.dev/google/edgetpu/vision/autoseg-edgetpu/fused_argmax/s/1?tf-hub-format=compressed
|
||||
image_augmentation/flipx_crop_rotate_color,https://tfhub.dev/google/image_augmentation/flipx_crop_rotate_color/1?tf-hub-format=compressed
|
||||
circularnet_3,https://tfhub.dev/google/circularnet_3/1?tf-hub-format=compressed
|
||||
random-nnlm-en-dim50,https://tfhub.dev/google/random-nnlm-en-dim50/1?tf-hub-format=compressed
|
||||
mixer_b16_i21k_classification,https://tfhub.dev/sayakpaul/mixer_b16_i21k_classification/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_160/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_160/quantops/classification/3?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_224/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_192/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_050_192/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/herb,https://tfhub.dev/google/experts/bit/r50x1/in21k/herb/1?tf-hub-format=compressed
|
||||
sup-exemplar-100,https://tfhub.dev/vtab/sup-exemplar-100/1?tf-hub-format=compressed
|
||||
mixer_b16_sam_classification,https://tfhub.dev/sayakpaul/mixer_b16_sam_classification/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_224/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/quantops/classification/3?tf-hub-format=compressed
|
||||
wav2vec2-robust,https://tfhub.dev/vasudevgupta7/wav2vec2-robust/1?tf-hub-format=compressed
|
||||
mixer_l16_i1k_classification,https://tfhub.dev/sayakpaul/mixer_l16_i1k_classification/1?tf-hub-format=compressed
|
||||
planet/vision/classifier/planet_v2,https://tfhub.dev/google/planet/vision/classifier/planet_v2/1?tf-hub-format=compressed
|
||||
wiki40b-lm-lv,https://tfhub.dev/google/wiki40b-lm-lv/1?tf-hub-format=compressed
|
||||
sentence-t5/st5-11b,https://tfhub.dev/google/sentence-t5/st5-11b/1?tf-hub-format=compressed
|
||||
gtr/gtr-xxl,https://tfhub.dev/google/gtr/gtr-xxl/1?tf-hub-format=compressed
|
||||
swin_base_patch4_window7_224_fe,https://tfhub.dev/sayakpaul/swin_base_patch4_window7_224_fe/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-8_H-128_A-2,https://tfhub.dev/google/small_bert/bert_uncased_L-8_H-128_A-2/2?tf-hub-format=compressed
|
||||
mmt/data_mscoco,https://tfhub.dev/deepmind/mmt/data_mscoco/1?tf-hub-format=compressed
|
||||
vit_r26_s32_lightaug_classification,https://tfhub.dev/sayakpaul/vit_r26_s32_lightaug_classification/1?tf-hub-format=compressed
|
||||
compare_gan/s3gan_10_256x256,https://tfhub.dev/google/compare_gan/s3gan_10_256x256/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/tree,https://tfhub.dev/google/experts/bit/r50x1/in21k/tree/1?tf-hub-format=compressed
|
||||
small_bert/bert_uncased_L-6_H-768_A-12,https://tfhub.dev/google/small_bert/bert_uncased_L-6_H-768_A-12/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_96/classification,https://tfhub.dev/google/imagenet/mobilenet_v2_075_96/classification/5?tf-hub-format=compressed
|
||||
mixer_b16_i1k_classification,https://tfhub.dev/sayakpaul/mixer_b16_i1k_classification/1?tf-hub-format=compressed
|
||||
edgetpu/nlp/mobilebert-edgetpu/s,https://tfhub.dev/google/edgetpu/nlp/mobilebert-edgetpu/s/1?tf-hub-format=compressed
|
||||
convnext_large_21k_1k_384,https://tfhub.dev/sayakpaul/convnext_large_21k_1k_384/1?tf-hub-format=compressed
|
||||
llr-pretrain-adv/latents,https://tfhub.dev/deepmind/llr-pretrain-adv/latents/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_224/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/consumer_goods,https://tfhub.dev/google/experts/bit/r50x1/in21k/consumer_goods/1?tf-hub-format=compressed
|
||||
swin_base_patch4_window7_224,https://tfhub.dev/sayakpaul/swin_base_patch4_window7_224/1?tf-hub-format=compressed
|
||||
swin_small_patch244_window877_kinetics400_1k,https://tfhub.dev/shoaib6174/swin_small_patch244_window877_kinetics400_1k/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/covering,https://tfhub.dev/google/experts/bit/r50x1/in21k/covering/1?tf-hub-format=compressed
|
||||
HRNet/msegpcontext-hrnetv2-w48,https://tfhub.dev/google/HRNet/msegpcontext-hrnetv2-w48/1?tf-hub-format=compressed
|
||||
convnext_large_21k_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_large_21k_1k_224_fe/1?tf-hub-format=compressed
|
||||
mmt/baseline-ft_baseline-no-bert-transfer,https://tfhub.dev/deepmind/mmt/baseline-ft_baseline-no-bert-transfer/1?tf-hub-format=compressed
|
||||
wiki40b-lm-el,https://tfhub.dev/google/wiki40b-lm-el/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b2/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b2/classification/2?tf-hub-format=compressed
|
||||
wiki40b-lm-ro,https://tfhub.dev/google/wiki40b-lm-ro/1?tf-hub-format=compressed
|
||||
convnext_base_21k_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_base_21k_1k_224_fe/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_192/quantops/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v1_025_192/quantops/feature_vector/3?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/foodstuff,https://tfhub.dev/google/experts/bit/r50x1/in21k/foodstuff/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_128/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_075_128/quantops/classification/3?tf-hub-format=compressed
|
||||
wiki40b-lm-ms,https://tfhub.dev/google/wiki40b-lm-ms/1?tf-hub-format=compressed
|
||||
convnext_large_1k_224,https://tfhub.dev/sayakpaul/convnext_large_1k_224/1?tf-hub-format=compressed
|
||||
convnext_large_21k_1k_384_fe,https://tfhub.dev/sayakpaul/convnext_large_21k_1k_384_fe/1?tf-hub-format=compressed
|
||||
mobilevit_s_1k_256_fe,https://tfhub.dev/sayannath/mobilevit_s_1k_256_fe/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/abstraction,https://tfhub.dev/google/experts/bit/r50x1/in21k/abstraction/1?tf-hub-format=compressed
|
||||
wiki40b-lm-th,https://tfhub.dev/google/wiki40b-lm-th/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_100_160/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_100_160/quantops/classification/3?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b1/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b1/classification/2?tf-hub-format=compressed
|
||||
mmt/data_sbu,https://tfhub.dev/deepmind/mmt/data_sbu/1?tf-hub-format=compressed
|
||||
mmt/data_combined-instance,https://tfhub.dev/deepmind/mmt/data_combined-instance/1?tf-hub-format=compressed
|
||||
semi-exemplar-10,https://tfhub.dev/vtab/semi-exemplar-10/1?tf-hub-format=compressed
|
||||
swin_tiny_patch4_window7_224,https://tfhub.dev/sayakpaul/swin_tiny_patch4_window7_224/1?tf-hub-format=compressed
|
||||
vila/image,https://tfhub.dev/google/vila/image/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_075_160/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_075_160/quantops/classification/3?tf-hub-format=compressed
|
||||
convnext_large_21k_1k_224,https://tfhub.dev/sayakpaul/convnext_large_21k_1k_224/1?tf-hub-format=compressed
|
||||
mmt/architecture_vilbert-4block,https://tfhub.dev/deepmind/mmt/architecture_vilbert-4block/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_050_160/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_050_160/quantops/classification/3?tf-hub-format=compressed
|
||||
mmt/architecture-ft_language-q-12,https://tfhub.dev/deepmind/mmt/architecture-ft_language-q-12/1?tf-hub-format=compressed
|
||||
convnext_small_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_small_1k_224_fe/1?tf-hub-format=compressed
|
||||
bit_resnet152x2_224_classification,https://tfhub.dev/sayakpaul/bit_resnet152x2_224_classification/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/relation,https://tfhub.dev/google/experts/bit/r50x1/in21k/relation/1?tf-hub-format=compressed
|
||||
mmt/architecture_single-modality,https://tfhub.dev/deepmind/mmt/architecture_single-modality/1?tf-hub-format=compressed
|
||||
convnext_xlarge_21k_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_xlarge_21k_1k_224_fe/1?tf-hub-format=compressed
|
||||
convnext_base_1k_384_fe,https://tfhub.dev/sayakpaul/convnext_base_1k_384_fe/1?tf-hub-format=compressed
|
||||
compare_gan/model_4_lsun_bedroom_resnet19,https://tfhub.dev/google/compare_gan/model_4_lsun_bedroom_resnet19/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/whole,https://tfhub.dev/google/experts/bit/r50x1/in21k/whole/1?tf-hub-format=compressed
|
||||
movinet/a3/stream/kinetics-600/classification,https://tfhub.dev/tensorflow/movinet/a3/stream/kinetics-600/classification/3?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/part,https://tfhub.dev/google/experts/bit/r50x1/in21k/part/1?tf-hub-format=compressed
|
||||
cait_s24_224_fe,https://tfhub.dev/sayakpaul/cait_s24_224_fe/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/vertebrate,https://tfhub.dev/google/experts/bit/r50x1/in21k/vertebrate/1?tf-hub-format=compressed
|
||||
convnext_base_1k_224,https://tfhub.dev/sayakpaul/convnext_base_1k_224/1?tf-hub-format=compressed
|
||||
deit_base_patch16_384,https://tfhub.dev/sayakpaul/deit_base_patch16_384/1?tf-hub-format=compressed
|
||||
deit_small_distilled_patch16_224_fe,https://tfhub.dev/sayakpaul/deit_small_distilled_patch16_224_fe/1?tf-hub-format=compressed
|
||||
llr-pretrain-adv/linear,https://tfhub.dev/deepmind/llr-pretrain-adv/linear/1?tf-hub-format=compressed
|
||||
edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/m,https://tfhub.dev/google/edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/m/2?tf-hub-format=compressed
|
||||
mmt/architecture_vilbert-2block,https://tfhub.dev/deepmind/mmt/architecture_vilbert-2block/1?tf-hub-format=compressed
|
||||
mobilevit_xs_1k_256_fe,https://tfhub.dev/sayannath/mobilevit_xs_1k_256_fe/1?tf-hub-format=compressed
|
||||
convnext_base_21k_1k_384,https://tfhub.dev/sayakpaul/convnext_base_21k_1k_384/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_128/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_100_128/feature_vector/5?tf-hub-format=compressed
|
||||
jigsaw,https://tfhub.dev/vtab/jigsaw/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_s/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_s/classification/2?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_075_160/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_075_160/feature_vector/5?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/matter,https://tfhub.dev/google/experts/bit/r50x1/in21k/matter/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_035_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_035_224/feature_vector/5?tf-hub-format=compressed
|
||||
klue_roberta_cased_L-24_H-1024_A-16,https://tfhub.dev/jeongukjae/klue_roberta_cased_L-24_H-1024_A-16/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_ft1k_b1/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b1/feature_vector/2?tf-hub-format=compressed
|
||||
experts/bert/wiki_books/squad2,https://tfhub.dev/google/experts/bert/wiki_books/squad2/2?tf-hub-format=compressed
|
||||
convnext_tiny_1k_224_fe,https://tfhub.dev/sayakpaul/convnext_tiny_1k_224_fe/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-zh-dim50-with-normalization,https://tfhub.dev/google/tf2-preview/nnlm-zh-dim50-with-normalization/1?tf-hub-format=compressed
|
||||
wiki40b-lm-de,https://tfhub.dev/google/wiki40b-lm-de/1?tf-hub-format=compressed
|
||||
mixer_b32_sam_fe,https://tfhub.dev/sayakpaul/mixer_b32_sam_fe/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-8_H-512_A-8,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-8_H-512_A-8/2?tf-hub-format=compressed
|
||||
tiny_video_net/mobile_1,https://tfhub.dev/google/tiny_video_net/mobile_1/1?tf-hub-format=compressed
|
||||
vgg19-block5-conv2-unpooling-encoder,https://tfhub.dev/emilutz/vgg19-block5-conv2-unpooling-encoder/1?tf-hub-format=compressed
|
||||
mmt/data-ft_sbu,https://tfhub.dev/deepmind/mmt/data-ft_sbu/1?tf-hub-format=compressed
|
||||
swin_s3_base_224,https://tfhub.dev/sayakpaul/swin_s3_base_224/1?tf-hub-format=compressed
|
||||
mmt/data_cc-with-bert,https://tfhub.dev/deepmind/mmt/data_cc-with-bert/1?tf-hub-format=compressed
|
||||
experts/bit/r50x1/in21k/instrument,https://tfhub.dev/google/experts/bit/r50x1/in21k/instrument/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v3_small_100_224/classification,https://tfhub.dev/google/imagenet/mobilenet_v3_small_100_224/classification/5?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_b1/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b1/feature_vector/2?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_xl/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_xl/classification/2?tf-hub-format=compressed
|
||||
bit/m-r152x4/imagenet21k_classification,https://tfhub.dev/google/bit/m-r152x4/imagenet21k_classification/1?tf-hub-format=compressed
|
||||
tf2-preview/nnlm-id-dim50,https://tfhub.dev/google/tf2-preview/nnlm-id-dim50/1?tf-hub-format=compressed
|
||||
small_bert/bert_en_uncased_L-10_H-768_A-12,https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-10_H-768_A-12/2?tf-hub-format=compressed
|
||||
unet/industrial/class_2,https://tfhub.dev/nvidia/unet/industrial/class_2/1?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v1_025_224/quantops/classification,https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/quantops/classification/3?tf-hub-format=compressed
|
||||
efficientnet/b0/classification,https://tfhub.dev/tensorflow/efficientnet/b0/classification/1?tf-hub-format=compressed
|
||||
convnext_large_1k_384_fe,https://tfhub.dev/sayakpaul/convnext_large_1k_384_fe/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet21k_b2/classification,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_b2/classification/2?tf-hub-format=compressed
|
||||
vgg19-block2-conv2-unpooling-decoder,https://tfhub.dev/emilutz/vgg19-block2-conv2-unpooling-decoder/1?tf-hub-format=compressed
|
||||
faster_rcnn/resnet50_v1_1024x1024,https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_1024x1024/1?tf-hub-format=compressed
|
||||
Wiki-words-500-with-normalization,https://tfhub.dev/google/Wiki-words-500-with-normalization/2?tf-hub-format=compressed
|
||||
wiki40b-lm-zh-tw,https://tfhub.dev/google/wiki40b-lm-zh-tw/1?tf-hub-format=compressed
|
||||
@@ -1 +1,8 @@
|
||||
vision/embedder/fungi_V2,https://tfhub.dev/svampeatlas/vision/embedder/fungi_V2/1?tf-hub-format=compressed
|
||||
vision/embedder/fungi_V2,https://tfhub.dev/svampeatlas/vision/embedder/fungi_V2/1?tf-hub-format=compressed
|
||||
movenet/singlepose/lightning,https://tfhub.dev/google/movenet/singlepose/lightning/4?tf-hub-format=compressed
|
||||
imagenet/resnet_v2_50/feature_vector,https://tfhub.dev/google/imagenet/resnet_v2_50/feature_vector/5?tf-hub-format=compressed
|
||||
movenet/singlepose/thunder,https://tfhub.dev/google/movenet/singlepose/thunder/4?tf-hub-format=compressed
|
||||
imagenet/mobilenet_v2_100_224/feature_vector,https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/feature_vector/5?tf-hub-format=compressed
|
||||
efficientnet/lite0/classification,https://tfhub.dev/tensorflow/efficientnet/lite0/classification/2?tf-hub-format=compressed
|
||||
movenet/multipose/lightning,https://tfhub.dev/google/movenet/multipose/lightning/1?tf-hub-format=compressed
|
||||
imagenet/efficientnet_v2_imagenet1k_b0/feature_vector,https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b0/feature_vector/2?tf-hub-format=compressed
|
||||
@@ -1,5 +1,7 @@
|
||||
-c ../../constraints.txt
|
||||
numpy
|
||||
pytest
|
||||
pytest-html
|
||||
tensorflow
|
||||
tensorflow-hub
|
||||
tensorflow-text
|
||||
@@ -7,6 +7,8 @@ import numpy as np
|
||||
import pytest
|
||||
import tensorflow as tf
|
||||
import tensorflow_hub as hub
|
||||
# noinspection PyUnresolvedReferences
|
||||
import tensorflow_text # do not delete, needed for text models
|
||||
from models_hub_common.test_convert_model import TestConvertModel
|
||||
from models_hub_common.utils import get_models_list
|
||||
|
||||
@@ -14,23 +16,30 @@ from models_hub_common.utils import get_models_list
|
||||
class TestTFHubConvertModel(TestConvertModel):
|
||||
def load_model(self, model_name, model_link):
|
||||
load = hub.load(model_link)
|
||||
if 'default' in list(load.signatures.keys()):
|
||||
if 'serving_default' in list(load.signatures.keys()):
|
||||
concrete_func = load.signatures['serving_default']
|
||||
elif 'default' in list(load.signatures.keys()):
|
||||
concrete_func = load.signatures['default']
|
||||
else:
|
||||
signature_keys = sorted(list(load.signatures.keys()))
|
||||
assert len(signature_keys) > 0, "No signatures for a model {}, url {}".format(model_name, model_link)
|
||||
concrete_func = load.signatures[signature_keys[0]]
|
||||
concrete_func._backref_to_saved_model = load
|
||||
return concrete_func
|
||||
|
||||
def get_inputs_info(self, model_obj):
|
||||
inputs_info = []
|
||||
for input_info in model_obj.inputs:
|
||||
input_shape = []
|
||||
for dim in input_info.shape.as_list():
|
||||
if dim is None:
|
||||
input_shape.append(1)
|
||||
else:
|
||||
input_shape.append(dim)
|
||||
try:
|
||||
for dim in input_info.shape.as_list():
|
||||
if dim is None:
|
||||
input_shape.append(1)
|
||||
else:
|
||||
input_shape.append(dim)
|
||||
except ValueError:
|
||||
# unknown rank case
|
||||
pass
|
||||
type_map = {
|
||||
tf.float64: np.float64,
|
||||
tf.float32: np.float32,
|
||||
@@ -43,32 +52,41 @@ class TestTFHubConvertModel(TestConvertModel):
|
||||
tf.string: str,
|
||||
tf.bool: bool,
|
||||
}
|
||||
if input_info.dtype not in type_map:
|
||||
continue
|
||||
assert input_info.dtype in type_map, "Unsupported input type: {}".format(input_info.dtype)
|
||||
inputs_info.append((input_shape, type_map[input_info.dtype]))
|
||||
|
||||
return inputs_info
|
||||
|
||||
def infer_fw_model(self, model_obj, inputs):
|
||||
tf_inputs = []
|
||||
for input_data in inputs:
|
||||
tf_inputs.append(tf.constant(input_data))
|
||||
# TODO 119141 - use the same dictionary for OV inference
|
||||
tf_inputs = {}
|
||||
for input_ind, input_name in enumerate(sorted(model_obj.structured_input_signature[1].keys())):
|
||||
tf_inputs[input_name] = tf.constant(inputs[input_ind])
|
||||
|
||||
output_dict = {}
|
||||
for out_name, out_value in model_obj(*tf_inputs).items():
|
||||
for out_name, out_value in model_obj(**tf_inputs).items():
|
||||
output_dict[out_name] = out_value.numpy()
|
||||
|
||||
# TODO: 119141 - remove this workaround
|
||||
# map external tensor names to internal names
|
||||
# TODO: remove this workaround
|
||||
assert len(model_obj.outputs) == len(model_obj.structured_outputs)
|
||||
fw_outputs = {}
|
||||
for out_name, out_value in output_dict.items():
|
||||
mapped_name = out_name
|
||||
if out_name in model_obj.structured_outputs:
|
||||
mapped_name = model_obj.structured_outputs[out_name].name
|
||||
fw_outputs[mapped_name] = out_value
|
||||
for output_ind, external_name in enumerate(sorted(model_obj.structured_outputs.keys())):
|
||||
internal_name = model_obj.outputs[output_ind].name
|
||||
out_value = output_dict[external_name]
|
||||
fw_outputs[internal_name] = out_value
|
||||
return fw_outputs
|
||||
|
||||
@pytest.mark.parametrize("model_name,model_link",
|
||||
get_models_list(os.path.join(os.path.dirname(__file__), "precommit_models")))
|
||||
@pytest.mark.precommit
|
||||
def test_convert_model(self, model_name, model_link, ie_device):
|
||||
# we do not perform transpose in the test in case of new frontend
|
||||
def test_convert_model_precommit(self, model_name, model_link, ie_device):
|
||||
self.run(model_name, model_link, ie_device)
|
||||
|
||||
@pytest.mark.parametrize("model_name,model_link",
|
||||
get_models_list(os.path.join(os.path.dirname(__file__), "nightly_models")))
|
||||
@pytest.mark.nightly
|
||||
def test_convert_model_all_models(self, model_name, model_link, ie_device):
|
||||
self.run(model_name, model_link, ie_device)
|
||||
Reference in new issue
Block a user