[DOCS] convert_model() as a default conversion path (#17454)
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@@ -64,7 +64,7 @@ To run the sample, you need to specify model weights and device.
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- This sample supports models with FP32 weights only.
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- 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.
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- 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.
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- The original model is available in the `Caffe* repository <https://github.com/BVLC/caffe/tree/master/examples/mnist>`__ on GitHub\*.
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@@ -154,7 +154,7 @@ See Also
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- :doc:`Integrate the OpenVINO™ Runtime with Your Application <openvino_docs_OV_UG_Integrate_OV_with_your_application>`
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- :doc:`Using OpenVINO™ Toolkit Samples <openvino_docs_OV_UG_Samples_Overview>`
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- :doc:`Model Downloader <omz_tools_downloader>`
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- :doc:`Model Optimizer <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
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- :doc:`Convert a Model <openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide>`
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@endsphinxdirective
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