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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 21:55:28 2025
md5 checksum 909a31f17fb686ea0a72320215a357bc
arch x86_64
build py311h06a4308_0
constrains minijinja >=1.0, fastcore >=1.3.27, inquirerpy ==0.3.4, fastai >=2.4, hf_transfer>=0.1.4, keras <3.0
depends filelock, fsspec >=2023.5.0, 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 909a31f17fb686ea0a72320215a357bc
name huggingface_hub
platform linux
sha1 7bb9e89d3bfedc2e484831ef0f9bfd5defdbfdb1
sha256 49ed563dc4fd68f38ce3c3d716205ff84287e8f68925ad3097ca3f7b1de4d4b8
size 626191
subdir linux-64
timestamp 1724854063570
version 0.24.6