Sourced from huggingface-hub's releases.

[v0.31.4]: strict dataclasses, support DTensor saving & some bug fixes

This release includes some new features and bug fixes:

• New strict decorators for runtime dataclass validation with custom and type-based checks. by @​Wauplin in huggingface/huggingface_hub#2895.
• Added DTensor support to _get_unique_id / get_torch_storage_size helpers, enabling transformers to use save_pretrained with DTensor. by @​S1ro1 in huggingface/huggingface_hub#3042.
• Some bug fixes: huggingface/huggingface_hub#3080 & huggingface/huggingface_hub#3076.

Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.31.2...v0.31.4

[v0.31.2] Hot-fix: make hf-xet optional again and bump the min version of the package

Patch release to make hf-xet optional. More context in #3079 and #3078.

Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.31.1...v0.31.2

• 2f4ee4b Release: v0.31.4
• 86ab658 Release: v0.31.3
• 4c28652 New @strict decorator for dataclass validation (#2895)
• f59601f Feat: support DTensor when saving (#3042)
• 7fde08d [Inference Endpoints] fix inference endpoint creation with custom image (#3076)
• 68475be [HfFileSystem] Fix end-of-file read() (#3080)
• 2e5dc96 Release: v0.31.2
• d1de0aa [Internal] make hf-xet optional (#3079)
• 080b047 bump hf-xet min version (#3078)
• See full diff in compare view

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