Inconsistency in PreTrainedModel.resize_token_embeddings When ZeRO3 Is Enabled
Author: sinamoeini
Pull request: yes

# What does this PR do?

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This PR addresses https://github.com/huggingface/transformers/issues/25241.

In previous implementation when ZeRO stage 3 was enbaled, resize_token_embeddings would create independent PyTorch weights on each device. Here we ensure that new embeddings are created with DeepSpeed init, and are properly partitioned accros devices.



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- @pacman100
- @ydshieh

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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
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- tokenizers: @ArthurZucker
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- diffusers: [different repo](https://github.com/huggingface/diffusers)
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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25394). All of your documentation changes will be reflected on that endpoint.

@pacman100 would you mind reviewing this PR? 

Thank you @sgugger would you mind merging this? 

There is a comment to be addressed please 🙏 

@ydshieh I addressed your comment however the documentation build cancelled. Could you kick it off again and merge if there are no more issues? thanks

It's fine. Thanks again 🚀 !