Add 6 huggingface notebooks on AMD dev cloud
Author: fan-amd
Pull request: yes

# What does this PR do?

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Add dependencies in image to support 6 following huggingface notebooks on AMD dev cloud.
## Documentation Notebooks

| Notebook | Description |
|----------|--------------|
| Fine-tuning a pretrained model | How to use the Trainer to fine-tune a pretrained model |


## PyTorch Examples

### Natural Language Processing

| Notebook | Description |
|----------|--------------|
| How to fine-tune a model on token classification | Show how to preprocess the data and fine-tune a pretrained model on a token classification task (NER, PoS). |
| How to fine-tune a model on question answering | Show how to preprocess the data and fine-tune a pretrained model on SQUAD. |
| How to fine-tune a model on multiple choice | Show how to preprocess the data and fine-tune a pretrained model on SWAG. |
| How to fine-tune a model on translation | Show how to preprocess the data and fine-tune a pretrained model on WMT. |


### Computer Vision

| Notebook | Description |
|----------|--------------|
| How to fine-tune a model on image classification (Torchvision) | Show how to preprocess the data using Torchvision and fine-tune any pretrained Vision model on Image Classification |


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      Pull Request section?
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      to it if that's the case.
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      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

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Models:

- text models: @ArthurZucker @Cyrilvallez
- vision models: @yonigozlan @molbap
- audio models: @eustlb @ebezzam @vasqu
- multimodal models: @zucchini-nlp
- graph models: @clefourrier

Library:

- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- continuous batching: @remi-or @ArthurZucker @McPatate
- pipelines: @Rocketknight1
- tokenizers: @ArthurZucker and @itazap
- trainer: @SunMarc
- attention: @vasqu @ArthurZucker @CyrilVallez
- model loading (from pretrained, etc): @CyrilVallez
- distributed: @3outeille @ArthurZucker
- CIs: @ydshieh

Integrations:

- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization: @SunMarc @MekkCyber
- kernels: @MekkCyber @drbh
- peft: @BenjaminBossan @githubnemo

Devices/Backends:

- AMD ROCm: @ivarflakstad
- Intel XPU: @IlyasMoutawwakil
- Ascend NPU: @ivarflakstad 

Documentation: @stevhliu

Research projects are not maintained and should be taken as is.

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Comments:
Hi @pagezyhf , I installed some dependencies in image hosted on AMD dev cloud to support 6 huggingface notebooks, I have tested these notebooks and they work fine on AMD dev cloud. Could you please help review this PR?

Sure! I triggered the doc build job, so you should get a link to the built PR docs in about half an hour. Please check that they look right and that the dev cloud links are correct, and once you do ping me for final review + merge.

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_41883). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

I think it's only a readme in the repo but not a doc page that has been changed, so we should be good to merge @Rocketknight1 !

Cool!