Translate attention.md into Chinese
Author: wwwbai
Pull request: yes

# What does this PR do?

Hello, I am a beginner of open source project. This PR translates attention.md into Chinese.Please let me know if there are any omissions, and I will be happy to revise them.

## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [x] Did you make sure to update the documentation with your changes? Here are the
      [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.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

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:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- 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.
- TensorFlow: @Rocketknight1

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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_34716). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.


Oh, I'm sorry, I'm a first-time contributor to the open source community, so I may not know where to find someone who can read Chinese.Or can I find someone who can read Chinese under the comments of other issues that translate documents into Chinese?

> Thanks for your translation! Do you know someone who can read Chinese and would be interested in reviewing your translation? I can only review the high-level things because I can't read Chinese 😅



Maybe @Isotr0py would you like to preview my PR? I found you under other issues related to Chinese translation.

I submitted a new PR(#34781 ), could you please take a look at it?Thank you very much!

> To be honest, this translation is quite in a style of machine translation, with many terminologies and code structures translated incorrectly...
> 
> I think you have better take a look at the dictionary in Chinese README to see how to deal with terminology:
> 
> https://github.com/huggingface/transformers/blob/13493215abceafc1653af88b045120014fb4c1fc/i18n/README_zh-hans.md?plain=1#L22-L39
> 
> For some terminologies not listed in README, you can refer to [Google Developers Documentation](https://developers.google.cn/machine-learning/glossary?hl=zh-cn#Transformer), they have provided a dictionary for machine learning terminology.



Hey, instead of creating a new PR, you can keep working on this current one to avoid cluttering the repo :)

@statelesshz or @jiaqiw09, based on your great work on previous Chinese translations, would you be interested in quickly reviewing? 🤗 

> Hey, instead of creating a new PR, you can keep working on this current one to avoid cluttering the repo :)
> 
> @statelesshz or @jiaqiw09, based on your great work on previous Chinese translations, would you be interested in quickly reviewing? 🤗

Okay, I understand, thank you very much for your guidance. I have submitted the latest revision 'translated2'. Can it be reviewed now?

> Only a small nit

Thank you very much for your valuable suggestions. I have submitted the revised changes accordingly.