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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 21:55:27 2025
md5 checksum 50c152d46cb12213577792c17c8108d1
arch x86_64
build py310h06a4308_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 >=3.10,<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 50c152d46cb12213577792c17c8108d1
name huggingface_hub
platform linux
sha1 78ef6ee4ec104acb3b430d03d2e0fef4087aca83
sha256 77513cdcc54725b4205bb9b4d1770ed1c768b058e9a200eb245c617469c535e9
size 490435
subdir linux-64
timestamp 1724854038425
version 0.24.6