Hashlib specification
Author: DueViktor
Pull request: yes

# What does this PR do?
The following PR address the issue raised in #27034.

Fixes # (issue)
Close #27034

## 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?
- [x] 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).
- [x] 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 and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @pacman100

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @stevhliu and @MKhalusova

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)

Maintained examples (not research project or legacy):

- 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:
@ArthurZucker, perhaps you can review this? 

Hey! As this might affect other HF repos we want to take our time and find a solution for all of them 🤗 gotta be aligned with other library maintainers! FYI @Wauplin 


> Hey! As this might affect other HF repos we want to take our time and find a solution for all of them 🤗 gotta be aligned with other library maintainers! FYI @Wauplin

That's fair. In case you need some references, similar changes have been included in other repos:
- https://github.com/mlflow/mlflow/issues/10106#issuecomment-1778790113
- https://github.com/mlflow/mlflow/pull/9961
- https://github.com/streamlit/streamlit/issues/7120
- https://github.com/streamlit/streamlit/issues/7526

Thanks a lot @DueViktor for raising the question :pray: I opened a PR in `huggingface_hub` which is the underlying library common to the other HF-libraries (transformers, diffusers, datasets,.): https://github.com/huggingface/huggingface_hub/pull/1782. My plan is to release that and then integrate with dependent libraries once adopted.

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.

Closing this PR without merging. This has been handled in a separate PR (see https://github.com/huggingface/transformers/issues/27034 for full context).