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The huggingface_hub is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 35K models, 4K datasets, and 2K demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. With huggingface_hub, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases: - Downloading and caching files from a Hub repository. - Creating repositories and uploading an updated model every few epochs. - Extract metadata from all models that match certain criteria (e.g. models for text-classification). - List all files from a specific repository.

Uploaded Mon Mar 31 21:55:35 2025
md5 checksum 53025278a0eb3c02e2b067e4ea157031
arch x86_64
build py311h06a4308_0
constrains InquirerPy ==0.3.4, fastcore >=1.3.27, fastai >=2.4
depends filelock, fsspec, packaging >=20.9, python >=3.11,<3.12.0a0, pyyaml >=5.1, requests, tqdm >=4.42.1, typing-extensions >=3.7.4.3
license Apache-2.0
license_family Apache
md5 53025278a0eb3c02e2b067e4ea157031
name huggingface_hub
platform linux
sha1 432db0eda73a2ca7194b39f8f1cea6154554644c
sha256 a9d798fc8cc7ff3575de81c79c20754d0f8517f466555779622d83face8356be
size 379891
subdir linux-64
timestamp 1684444060737
version 0.14.1