[DOCS] Better statement about MO extensions as internal API [Recreating #14062] (#15679)

Recreating #14062
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Sebastian Golebiewski
2023-03-06 10:27:42 +01:00
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@endsphinxdirective @endsphinxdirective
This article describes Model Optimizer internals. Altering them may result in application instability, and in case of future changes to the API, lack of backward compatibility.
> **NOTE**: If you want to add support for ONNX, PaddlePaddle or Tensorflow operations, or you are not familiar with other extension alternatives in OpenVINO, read [this guide](../../../Extensibility_UG/Intro.md) instead.
<a name="model-optimizer-extensibility"></a>Model Optimizer extensibility mechanism enables support of new operations and custom transformations to generate the optimized intermediate representation (IR) as described in the <a name="model-optimizer-extensibility"></a>Model Optimizer extensibility mechanism enables support of new operations and custom transformations to generate the optimized intermediate representation (IR) as described in the
[Deep Learning Network Intermediate Representation and Operation Sets in OpenVINO™](../../IR_and_opsets.md). This [Deep Learning Network Intermediate Representation and Operation Sets in OpenVINO™](../../IR_and_opsets.md). This
mechanism is a core part of Model Optimizer, as a huge set of examples showing how to add custom logic to support your model. mechanism is a core part of Model Optimizer, as a huge set of examples showing how to add custom logic to support your model.