[DOCS] ShapeOf-3 & Supported Model Formats fix for master (#19694)

* fix

* Update supported_model_formats.md
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Maciej Smyk 2023-09-08 13:33:38 +02:00 committed by GitHub
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@ -548,12 +548,12 @@ converting them to ONNX for use with OpenVINO should be considered the default p
.. note::
If you want to keep working with the legacy formats the old way, refer to a previous
`OpenVINO LTS version and its documentation. <https://docs.openvino.ai/2022.3/Supported_Model_Formats.html>.
`OpenVINO LTS version and its documentation <https://docs.openvino.ai/2022.3/Supported_Model_Formats.html>`__ .
OpenVINO versions of 2023 are mostly compatible with the old instructions,
through a deprecated MO tool, installed with the deprecated OpenVINO Developer Tools package.
`OpenVINO 2023.0 <https://docs.openvino.ai/2023.0/Supported_Model_Formats.html> is the last
`OpenVINO 2023.0 <https://docs.openvino.ai/2023.0/Supported_Model_Formats.html>`__ is the last
release officially supporting the MO conversion process for the legacy formats.

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@ -28,7 +28,7 @@
**Outputs**:
* **1**: 1D tensor that is equal to input tensor shape of type *T_IND*. Number of elements is equal to input tensor rank. Can be empty 1D tensor if input tensor is a scalar, that mean 0-dimensional tensor.
* **1**: 1D tensor that is equal to input tensor shape of type *T_IND*. Number of elements is equal to input tensor rank. Can be empty 1D tensor if input tensor is a scalar, that means 0-dimensional tensor.
**Types**