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Add ONNX Runtime quantization for text classification notebook (#15817)
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@ -82,7 +82,8 @@ You can open any page of the documentation as a notebook in colab (there is a bu
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| Notebook | Description | | |
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|:----------|:-------------|:-------------|------:|
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| [How to quantize a model for text classification](https://github.com/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)| Show how to apply [Intel Neural Compressor (INC)](https://github.com/intel/neural-compressor) quantization on a model for any GLUE task. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)| [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)|
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| [How to quantize a model with ONNX Runtime for text classification](https://github.com/huggingface/notebooks/blob/master/examples/text_classification_quantization_ort.ipynb)| Show how to apply static and dynamic quantization on a model using [ONNX Runtime](https://github.com/microsoft/onnxruntime) for any GLUE task. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_ort.ipynb)| [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_ort.ipynb)|
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| [How to quantize a model with Intel Neural Compressor for text classification](https://github.com/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)| Show how to apply static, dynamic and aware training quantization on a model using [Intel Neural Compressor (INC)](https://github.com/intel/neural-compressor) for any GLUE task. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)| [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/examples/text_classification_quantization_inc.ipynb)|
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## Community notebooks:
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