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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 21:55:31 2025
md5 checksum 2067491331efb9b6bb014fbadc0a3b49
arch x86_64
build py310h06a4308_0
constrains InquirerPy ==0.3.4, fastai >=2.4, fastcore >=1.3.27, pydantic >1.1,<3.0
depends filelock, fsspec >=2023.5.0, packaging >=20.9, python >=3.10,<3.11.0a0, pyyaml >=5.1, requests, tqdm >=4.42.1, typing-extensions >=3.7.4.3
license Apache-2.0
license_family Apache
md5 2067491331efb9b6bb014fbadc0a3b49
name huggingface_hub
platform linux
sha1 d8d79c3e0e62927a64e21cd3dc882c71f55dfdff
sha256 222daef570c3ff05a0a5e394c3e282a93653be44378a6905295031510e378d7b
size 405964
subdir linux-64
timestamp 1708634561382
version 0.20.3