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rocketce / packages / huggingface_hub 0.20.0

Client library to download and publish models on the huggingface.co hub

Installers

Info: This package contains files in non-standard labels.
  • noarch v0.20.0

conda install

To install this package run one of the following:
conda install rocketce::huggingface_hub
conda install rocketce/label/rocketce-1.11.2::huggingface_hub
conda install rocketce/label/rocketce-1.4.1::huggingface_hub
conda install rocketce/label/rocketce-1.5.0::huggingface_hub
conda install rocketce/label/rocketce-1.6.0::huggingface_hub
conda install rocketce/label/rocketce-1.7.0::huggingface_hub

Description

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, 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.

PyPI: https://pypi.org/project/huggingface-hub/


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