Modular phi
Author: h3110Fr13nd
Pull request: yes

# What does this PR do?
Adds Modular Phi https://github.com/huggingface/transformers/issues/33916
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## Who can review?
@ArthurZucker @LysandreJik 
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @ylacombe, @eustlb
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc
- chat templates: @Rocketknight1

Integrations:

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- ray/raytune: @richardliaw, @amogkam
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- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

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- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
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Comments:
Awesome PR! 🥳 CC @Cyrilvallez 

Rebased for failing CIs

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_34361). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

Feel free to ping us again once ready! 🤗 

> Feel free to ping us again once ready! 🤗

@ArthurZucker . Oh, I think that's all. Suggest me any changes if required.

Rebased. @Cyrilvallez

🤗

> All right, LGTM! Great job thanks!
> If #34858 gets merged before this one, you'll just need to make sure to modify accordingly, but it will be extremely straightforward!

Done! @Cyrilvallez