Add notebook INC quantization for text classification tasks
Add a notebook showing how to apply Intel Neural Compressor (INC) quantization (dynamic, post-training and aware training approach) for text classification tasks.

Should we add an **Optimum** section? :) <|||||>Great addition!
I have a couple of comments on the notebook. Could you share a Colab version where I could put them?<|||||>(For instance the notebook does not run to completion :-/)<|||||>I shared the notebook (which now runs to completion) <|||||>Thank you for your comments @sgugger, the notebook was updated accordingly.<|||||>Thanks for the detailed comments @LysandreJik. I updated the notebook accordingly and we do not set `use_fast` to `True` anymore as it's not related to quantization and could indeed be misleading. I also rephrased the ambiguous comment and added an introduction as well as a model sizes comparison between the full-precision and the quantized model. Finally concerning the loading of the quantized model warnings, it's a good point and we will modify our `IncQuantizedModel` class in order to have something clearer for the user.<|||||>Then LGTM :)