Update huggingface-hub requirement from <0.6.0,>=0.0.12 to >=0.0.12,<0.7.0

[dependabot]

Updates the requirements on huggingface-hub to permit the latest version.

Release notes

Sourced from huggingface-hub's releases.

v0.6.0: fastai support, repocard metadata, binary file support, skip LFS files when pushing to the hub

fastai support

v0.6.0 introduces downstream (download) and upstream (upload) support for the fastai libraries. It supports fastai versions above 2.4. The integration is detailed in the following blog.

• Add fastai upstream and downstream capacities for fastai>=2.4 and fastcore>=1.3.27 versions by @​omarespejel in #678

Automatic binary file tracking in Repository

Binary files are now rejected by default by the Hub. v0.6.0 introduces automatic binary file tracking through the auto_lfs_track argument of the Repository.git_add method. It also introduces the Repository.auto_track_binary_files method which can be used independently of other methods.

• ENH Auto track binary files in Repository by @​LysandreJik in #828

skip_lfs_file is now added to mixins

The parameter skip_lfs_files is now added to the different mixins. This will enable pushing files to the hub without first downloading the files above 10MB. This should drammatically reduce the time needed when updating a modelcard, a configuration file, and others.

• ✨ add skip_lfs_files to mixins' push_to_hub by @​nateraw in #858

Repocard metadata

This PR adds a metadata_update function that allows the user to update the metadata in a repository on the hub. The function accepts a dict with metadata (following the same pattern as the YAML in the README) and behaves as follows for all top level fields except model-index.

Examples:

Starting from

existing_results = [{
    'dataset': {'name': 'IMDb', 'type': 'imdb'},
    'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.995}],
     'task': {'name': 'Text Classification', 'type': 'text-classification'}
}]

1. Overwrite existing metric value in existing result

new_results = deepcopy(existing_results)
new_results[0]["metrics"][0]["value"] = 0.999
_update_metadata_model_index(existing_results, new_results, overwrite=True)

[{'dataset': {'name': 'IMDb', 'type': 'imdb'},
  'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.999}],
  'task': {'name': 'Text Classification', 'type': 'text-classification'}}]

2. Add new metric to existing result

... (truncated)

Commits

• a8b6f14 Release: v0.6.0
• 26e55c0 RC Release: v0.6.0.rc0
• 7042df3 Enable keras download stats (#860)
• 33c0de3 ✨ add skip_lfs_files to mixins' push_to_hub (#858)
• 9a516f5 DOC Update landing page (#854)
• 627fdb2 Update contribution guide for merging PRs (#856)
• dabcc83 Update how to guides (#840)
• cab4152 Add fastai upstream and downstream capacities for fastai>=2.4 and fastcore>=1...
• 04c38fc MNT enable preview on black (#849)
• e61f39b MNT refactor: subprocess.run -> run_subprocess (#352)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #92.