[#29174] ImportError Fix: Trainer with PyTorch requires accelerate>=0.20.1 Fix
Author: UtkarshaGupte
Pull request: yes

Adding the evaluate and accelerate installs at the beginning of the cell to fix the issue

# What does this PR do?
This PR fixes a runtime error that occurs when using `accelerate` with a specific configuration by adding the necessary `evaluate` and `accelerate` installations at the beginning of the notebook session. It addresses the issue where updating `accelerate` after importing it, especially in the same notebook session, results in using the old incompatible version. By ensuring that `accelerate` is installed early in the notebook session, users can avoid compatibility issues and utilize the updated version seamlessly.

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Fixes # (issue)


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Comments:
cc @muellerzr 

@amyeroberts - can you take a look at this PR if you have time?

Thank you @amyeroberts and @muellerzr for reviewing the PR. I have extended the modification to other languages as well. Let me know if you have any other suggestions.

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29888). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

@Rocketknight1 Any idea what's causing the error in the doc tests? https://app.circleci.com/pipelines/github/huggingface/transformers/88782/workflows/66624f43-2641-4007-9cb3-4fe283d08c1b/jobs/1156342

@amyeroberts It looks like a Keras 3 object snuck in there - which is surprising, because our code should have the envvars set correctly so that doesn't happen! Rebasing should fix it, and if it doesn't, ping me here and I'll dive in and fix it.

@UtkarshaGupte can you try rebasing the PR? To do that:

1: Sync upstream on the main branch of your fork in Github
2: Rebase your `tutorial_update` branch onto the `main` branch of your fork
3: Force push the `tutorial_update` branch.

Hopefully that should fix this! If it doesn't, then whatever way I coded that docstring is importing a Keras 3 object, so I'll rewrite it to fix the issue.

> @UtkarshaGupte can you try rebasing the PR? To do that:
> 
> 1: Sync upstream on the main branch of your fork in Github 2: Rebase your `tutorial_update` branch onto the `main` branch of your fork 3: Force push the `tutorial_update` branch.
> 
> Hopefully that should fix this! If it doesn't, then whatever way I coded that docstring is importing a Keras 3 object, so I'll rewrite it to fix the issue.

@Rocketknight1  - I followed the instructions you gave above but still the tests are failing withe below error:
`ValueError: Could not interpret optimizer identifier: <keras.src.optimizers.adam.Adam object at 0x7f46df37a250>
/home/circleci/transformers/docs/source/en/quicktour.md:550: UnexpectedException`


Hi @UtkarshaGupte, it seems like there's some issue with the env vars on the doctest runner. Rather than debugging it, I just changed the TF example slightly so this PR would be green! Sorry about the delay.

@Rocketknight1 Thanks for the help debugging and thanks again for this contribution @UtkarshaGupte! 

Thank you for your help @Rocketknight1  and @amyeroberts :-)