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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 21:55:36 2025
md5 checksum 9ef3ffed89c96934b7c51658a7c84b0a
arch x86_64
build py310h06a4308_0
depends filelock, packaging >=20.9, python >=3.10,<3.11.0a0, pyyaml >=5.1, requests, tqdm, typing-extensions >=3.7.4.3
license Apache-2.0
license_family Apache
md5 9ef3ffed89c96934b7c51658a7c84b0a
name huggingface_hub
platform linux
sha1 d1c312957bbc501f08ebf8040253b1ba5de84896
sha256 628f3300571b39f710336ae78e8fcdb778f7a5fc65521df23b3dd0d63c8ebd7c
size 220784
subdir linux-64
timestamp 1667490303076
version 0.10.1