[DOCS] convert_model() as a default conversion path (#17454)

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Sebastian Golebiewski authored and GitHub committed 2023-05-31 17:53:22 +02:00
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@@ -64,7 +64,7 @@ To run the sample, you need to specify model weights and device.
- This sample supports models with FP32 weights only.
- The ``lenet.bin`` weights file was generated by the :doc:`Model Optimizer <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>` tool from the public LeNet model with the ``--input_shape [64,1,28,28]`` parameter specified.
- The ``lenet.bin`` weights file was generated by :doc:`model conversion API <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>` from the public LeNet model with the ``input_shape [64,1,28,28]`` parameter specified.
- The original model is available in the `Caffe* repository <https://github.com/BVLC/caffe/tree/master/examples/mnist>`__ on GitHub\*.
@@ -154,7 +154,7 @@ See Also
- :doc:`Integrate the OpenVINO™ Runtime with Your Application <openvino_docs_OV_UG_Integrate_OV_with_your_application>`
- :doc:`Using OpenVINO™ Toolkit Samples <openvino_docs_OV_UG_Samples_Overview>`
- :doc:`Model Downloader <omz_tools_downloader>`
- :doc:`Model Optimizer <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
- :doc:`Convert a Model <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
@endsphinxdirective