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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 21:55:33 2025
md5 checksum 342dc15f3f4d2f855d3231b20d2232e1
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 342dc15f3f4d2f855d3231b20d2232e1
name huggingface_hub
platform linux
sha1 20fa8a33fcec69e5a284ace1dad1a9d6c7460c92
sha256 60f707c5301d93d9acbc8df2fdaf0a2e5b2608c5e8cdd94bb6d08c3aa1450bd9
size 462288
subdir linux-64
timestamp 1696885893355
version 0.17.3