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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 ea422c90a6a4d0b287d475807363d3e3
arch x86_64
build py312h06a4308_0
constrains keras <3.0, fastai >=2.4, fastcore >=1.3.27, hf_transfer>=0.1.4, inquirerpy ==0.3.4
depends filelock, fsspec >=2023.5.0, packaging >=20.9, python >=3.12,<3.13.0a0, pyyaml >=5.1, requests, tqdm >=4.42.1, typing-extensions >=3.7.4.3
license Apache-2.0
license_family Apache
md5 ea422c90a6a4d0b287d475807363d3e3
name huggingface_hub
platform linux
sha1 4936bfae23eb21761015f3553683285b6dd23cb1
sha256 c8dd080e744a0bc8b3950e631b6cac8ff9e4e84d75806f4a03941816db6bc3e6
size 692699
subdir linux-64
timestamp 1741284199697
version 0.29.2