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[DOCS] improve legacy section formatting #23512

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[DOCS] improve legacy section formatting #23512

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102 changes: 51 additions & 51 deletions docs/articles_en/documentation/legacy-features.rst
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@@ -1,8 +1,8 @@
.. {#openvino_legacy_features}

Legacy Features and Components
==============================

.. meta::
:description: A list of deprecated OpenVINO™ components.

.. toctree::
:maxdepth: 1
Expand Down Expand Up @@ -60,66 +60,66 @@ offering.
| :doc:`See the Open Model ZOO documentation <legacy-features/model-zoo>`
| `Check the OMZ GitHub project <https://github.com/openvinotoolkit/open_model_zoo>`__

| **Apache MXNet, Caffe, and Kaldi model formats**
| *New solution:* conversion to ONNX via external tools
| *Old solution:* model support discontinued with OpenVINO 2024.0
|
| `The last version supporting Apache MXNet, Caffe, and Kaldi model formats <https://docs.openvino.ai/2023.3/mxnet_caffe_kaldi.html>`__
| :doc:`See the currently supported frameworks <../openvino-workflow/model-preparation>`


| **Post-training Optimization Tool (POT)**
| *New solution:* NNCF extended in OpenVINO 2023.0
| *Old solution:* POT discontinued with OpenVINO 2024.0
|
| Neural Network Compression Framework (NNCF) now offers the same functionality as POT,
apart from its original feature set.
Discontinued:
#############

| :doc:`See how to use NNCF for model optimization <../openvino-workflow/model-optimization>`
| `Check the NNCF GitHub project, including documentation <https://github.com/openvinotoolkit/nncf>`__
.. dropdown:: Apache MXNet, Caffe, and Kaldi model formats

| **Inference API 1.0**
| *New solution:* API 2.0 launched in OpenVINO 2022.1
| *Old solution:* discontinued with OpenVINO 2024.0
|
| `The last version supporting API 1.0 <https://docs.openvino.ai/2023.2/openvino_2_0_transition_guide.html>`__
| *New solution:* conversion to ONNX via external tools
| *Old solution:* model support discontinued with OpenVINO 2024.0
| `The last version supporting Apache MXNet, Caffe, and Kaldi model formats <https://docs.openvino.ai/2023.3/mxnet_caffe_kaldi.html>`__
| :doc:`See the currently supported frameworks <../openvino-workflow/model-preparation>`

| **Compile tool**
| *New solution:* the tool is no longer needed
| *Old solution:* deprecated in OpenVINO 2023.0
|
| If you need to compile a model for inference on a specific device, use the following script:
.. dropdown:: Post-training Optimization Tool (POT)

.. tab-set::
| *New solution:* Neural Network Compression Framework (NNCF) now offers the same functionality
| *Old solution:* POT discontinued with OpenVINO 2024.0
| :doc:`See how to use NNCF for model optimization <../openvino-workflow/model-optimization>`
| `Check the NNCF GitHub project, including documentation <https://github.com/openvinotoolkit/nncf>`__

.. tab-item:: Python
:sync: py
.. dropdown:: Inference API 1.0

.. doxygensnippet:: docs/snippets/export_compiled_model.py
:language: python
:fragment: [export_compiled_model]
| *New solution:* API 2.0 launched in OpenVINO 2022.1
| *Old solution:* discontinued with OpenVINO 2024.0
| `The last version supporting API 1.0 <https://docs.openvino.ai/2023.2/openvino_2_0_transition_guide.html>`__

.. tab-item:: C++
:sync: cpp
.. dropdown:: Compile tool

.. doxygensnippet:: docs/snippets/export_compiled_model.cpp
:language: cpp
:fragment: [export_compiled_model]
| *New solution:* the tool is no longer needed
| *Old solution:* discontinued with OpenVINO 2023.0
| If you need to compile a model for inference on a specific device, use the following script:

.. tab-set::

| **DL Workbench**
| *New solution:* DevCloud version
| *Old solution:* local distribution discontinued in OpenVINO 2022.3
|
| The stand-alone version of DL Workbench, a GUI tool for previewing and benchmarking
deep learning models, has been discontinued. You can use its cloud version:
| `Intel® Developer Cloud for the Edge <https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html>`__.
.. tab-item:: Python
:sync: py

| **OpenVINO™ integration with TensorFlow (OVTF)**
| *New solution:* Direct model support and OpenVINO Converter (OVC)
| *Old solution:* discontinued in OpenVINO 2023.0
|
| OpenVINO™ Integration with TensorFlow is longer supported, as OpenVINO now features a
native TensorFlow support, significantly enhancing user experience with no need for
explicit model conversion.
.. doxygensnippet:: docs/snippets/export_compiled_model.py
:language: python
:fragment: [export_compiled_model]

.. tab-item:: C++
:sync: cpp

.. doxygensnippet:: docs/snippets/export_compiled_model.cpp
:language: cpp
:fragment: [export_compiled_model]

.. dropdown:: DL Workbench

| *New solution:* DevCloud version
| *Old solution:* local distribution discontinued in OpenVINO 2022.3
| The stand-alone version of DL Workbench, a GUI tool for previewing and benchmarking
deep learning models, has been discontinued. You can use its cloud version:
| `Intel® Developer Cloud for the Edge <https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html>`__.

.. dropdown:: TensorFlow integration (OVTF)

| *New solution:* Direct model support and OpenVINO Converter (OVC)
| *Old solution:* discontinued in OpenVINO 2023.0
|
| OpenVINO now features a native TensorFlow support, with no need for explicit model
conversion.

2 changes: 1 addition & 1 deletion docs/articles_en/openvino-workflow/model-preparation.rst
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Expand Up @@ -27,7 +27,7 @@ OpenVINO supports the following model formats:
* OpenVINO IR.

The easiest way to obtain a model is to download it from an online database, such as
`TensorFlow Hub <https://tfhub.dev/>`__, `Hugging Face <https://huggingface.co/>`__, and
`Kaggle <https://www.kaggle.com/models>`__, `Hugging Face <https://huggingface.co/>`__, and
`Torchvision models <https://pytorch.org/hub/>`__. Now you have two options:

* Skip model conversion and :doc:`run inference <running-inference/integrate-openvino-with-your-application>`
Expand Down
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