Add FlaxCLIPTextModelWithProjection
# What does this PR do?

`FlaxCLIPTextModelWithProjection` is necessary to support the Flax port of Stable Diffusion XL: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/fb6d705fb518524cabc79c77f13a0e7921bcab3a/text_encoder_2/config.json#L3

I can add some tests, if necessary, after this approach is validated.

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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      Pull Request section?
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- [x] Did you make sure to update the documentation with your changes? Here are the
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- [ ] Did you write any new necessary tests?


## Who can review?

@patrickvonplaten @patil-suraj @sanchit-gandhi @younesbelkada 

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25254). All of your documentation changes will be reflected on that endpoint.<|||||>Should we maybe for now just add it in a subfolder of sdxl in diffusers here: https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines/stable_diffusion_xl  instead of having to rely on `transformers` here? I'm not 100% convinced this model is really needed for core transformers usage.

Would also not force the user to have to install transformers from main :-) <|||||>> Should we maybe for now just add it in a subfolder of sdxl in diffusers here: https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines/stable_diffusion_xl instead of having to rely on `transformers` here? I'm not 100% convinced this model is really needed for core transformers usage.

The [PyTorch version of the same model was added 9 months ago](https://github.com/huggingface/transformers/blob/bd90cda9a6bb4723515c17df1192e53abc8e36e3/src/transformers/models/clip/modeling_clip.py#L1198), so I assumed it was ok.

But sure, we can do that. In that case, how do we deal with it?
- Change the library to `diffusers` here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/model_index.json#L15. Unless I'm mistaken, then we'd need to distribute the flax weights separately, or use a branch.
- Create a hack in diffusers to map the library.

> 
> Would also not force the user to have to install transformers from main :-)

Yes, of course, this was meant as the long-term solution.

<|||||>Ah yeah good point JAX & PyTorch share the same config - this will become complicated indeed then. Ok let's try to get it merged here. CLIP is important enough to be merged to `transformers` indeed 