Remove deprecated INC and IPEX from documentation (huggingface#2396)

* Remove deprecated INC and IPEX from documentation

* remove notebook

* fix openvino doc url

Author: echarlaix

README.md

@@ -43,9 +43,7 @@ If you'd like to use the accelerator-specific features of Optimum, you can check
 | [ONNX](https://huggingface.co/docs/optimum-onnx/en/index)                           | `pip install --upgrade --upgrade-strategy eager optimum[onnx]`              |
 | [ONNX Runtime](https://huggingface.co/docs/optimum-onnx/onnxruntime/overview)       | `pip install --upgrade --upgrade-strategy eager optimum[onnxruntime]`       |
 | [ONNX Runtime GPU](https://huggingface.co/docs/optimum-onnx/onnxruntime/overview)   | `pip install --upgrade --upgrade-strategy eager optimum[onnxruntime-gpu]`   |
-| [Intel Neural Compressor](https://huggingface.co/docs/optimum/intel/index)          | `pip install --upgrade --upgrade-strategy eager optimum[neural-compressor]` |
 | [OpenVINO](https://huggingface.co/docs/optimum/intel/index)                         | `pip install --upgrade --upgrade-strategy eager optimum[openvino]`          |
-| [IPEX](https://huggingface.co/docs/optimum/intel/index)                             | `pip install --upgrade --upgrade-strategy eager optimum[ipex]`              |
 | [NVIDIA TensorRT-LLM](https://huggingface.co/docs/optimum/main/en/nvidia_overview)  | `docker run -it --gpus all --ipc host huggingface/optimum-nvidia`           |
 | [AMD Instinct GPUs and Ryzen AI NPU](https://huggingface.co/docs/optimum/amd/index) | `pip install --upgrade --upgrade-strategy eager optimum[amd]`               |
 | [AWS Trainum & Inferentia](https://huggingface.co/docs/optimum-neuron/index)        | `pip install --upgrade --upgrade-strategy eager optimum[neuronx]`           |
@@ -99,10 +97,14 @@ For this make sure you have ONNX Runtime installed, fore more information check
 
 More details on how to run ONNX models with `ORTModelForXXX` classes [here](https://huggingface.co/docs/optimum-onnx/en/onnxruntime/usage_guides/models).
 
-### Intel (OpenVINO + Neural Compressor + IPEX)
+### Intel (OpenVINO + NNCF)
 
 Before you begin, make sure you have all the necessary [libraries installed](https://huggingface.co/docs/optimum/main/en/intel/installation).
 
+```bash
+pip install --upgrade --upgrade-strategy eager optimum[openvino]
+```
+
 You can find more information on the different integration in our [documentation](https://huggingface.co/docs/optimum/main/en/intel/index) and in the examples of [`optimum-intel`](https://github.com/huggingface/optimum-intel).
 
 ### ExecuTorch

docs/source/index.mdx

@@ -44,7 +44,7 @@ The packages below enable you to get the best of the 🤗 Hugging Face ecosystem
     </a>
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/docs/optimum-intel/index"
       ><div class="w-full text-center bg-gradient-to-br from-blue-400 to-blue-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Intel</div>
-      <p class="text-gray-700">Optimize your model to speedup inference with <span class="underline" onclick="event.preventDefault(); window.open('https://docs.openvino.ai/latest/index.html', '_blank');">OpenVINO</span> , <span class="underline" onclick="event.preventDefault(); window.open('https://www.intel.com/content/www/us/en/developer/tools/oneapi/neural-compressor.html', '_blank');">Neural Compressor</span> and <span class="underline" onclick="event.preventDefault(); window.open('https://intel.github.io/intel-extension-for-pytorch/index.html', '_blank');">IPEX</span></p>
+      <p class="text-gray-700">Optimize your model to speedup inference with <span class="underline" onclick="event.preventDefault(); window.open('https://docs.openvino.ai/2025/index.html', '_blank');">OpenVINO</span></p>
     </a>
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/docs/optimum-habana/index"
       ><div class="w-full text-center bg-gradient-to-br from-indigo-400 to-indigo-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Intel Gaudi</div>

docs/source/installation.mdx

@@ -23,9 +23,7 @@ If you'd like to use the accelerator-specific features of 🤗 Optimum, you can
 | Accelerator                                                                                                            | Installation                                                      |
 |:-----------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------|
 | [ONNX Runtime](https://huggingface.co/docs/optimum/onnxruntime/overview)                                               | `pip install --upgrade --upgrade-strategy eager optimum[onnxruntime]`       |
-| [Intel Neural Compressor](https://huggingface.co/docs/optimum/intel/index)                                             | `pip install --upgrade --upgrade-strategy eager optimum[neural-compressor]` |
 | [OpenVINO](https://huggingface.co/docs/optimum/intel/index)                                                            | `pip install --upgrade --upgrade-strategy eager optimum[openvino]`          |
-| [IPEX](https://huggingface.co/docs/optimum/intel/index)                                                                | `pip install --upgrade --upgrade-strategy eager optimum[ipex]`              |
 | [NVIDIA TensorRT-LLM](https://huggingface.co/docs/optimum/main/en/nvidia_overview)                                     | `docker run -it --gpus all --ipc host huggingface/optimum-nvidia`           |
 | [AMD Instinct GPUs and Ryzen AI NPU](https://huggingface.co/docs/optimum/amd/index)                                    | `pip install --upgrade --upgrade-strategy eager optimum[amd]`               |
 | [AWS Trainum & Inferentia](https://huggingface.co/docs/optimum-neuron/index)                                           | `pip install --upgrade --upgrade-strategy eager optimum[neuronx]`           |

notebooks/README.md

@@ -30,13 +30,6 @@ You can find here a list of the notebooks associated with each accelerator in 
 | [How to quantize a question answering model with NNCF](https://github.com/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb) | Show how to apply post-training quantization on a question answering model using [NNCF](https://github.com/openvinotoolkit/nncf) and to accelerate inference with OpenVINO| [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb)| [![Open in AWS Studio](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb)|
 
 
-### Neural Compressor
-
-| Notebook                                                                                                                                                                               | Description                                                                                                                                                                       |                                     Colab                                                                                                                                                                                                          |        Studio Lab                                                                                                                                                                                                   |
-|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
-| [How to quantize a model with Intel Neural Compressor for text classification](https://github.com/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb) | Show how to apply quantization while training your model using Intel [Neural Compressor](https://github.com/intel/neural-compressor) for any GLUE task. | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb) | [![Open in AWS Studio](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb) |
-
-
 ## Optimum ONNX Runtime
 
 | Notebook                                                                                                                                                                    | Description                                                                                                                                    |                                                                        Colab                                                                                                                                                                                                          |        Studio Lab                                                                                                                                                                                                   |