huggingface_hub and hf-hub-lightning

The official Hugging Face Hub client provides the underlying API and authentication infrastructure that the PyTorch Lightning callback depends on to push models to the Hub, making them complements rather than alternatives.

huggingface_hub
87
Verified
hf-hub-lightning
38
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 25/25
Community 6/25
Stars: 3,405
Forks: 955
Downloads:
Commits (30d): 89
Language: Python
License: Apache-2.0
Stars: 35
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m

About huggingface_hub

huggingface/huggingface_hub

The official Python client for the Hugging Face Hub.

This is a Python client that helps ML developers and researchers easily find, download, upload, and manage machine learning models and datasets. It allows you to programmatically access the Hugging Face Hub, where you can share your work and use resources from the community. You can take models and datasets from the Hub into your Python environment and upload your own creations back to the Hub.

machine-learning-development model-management dataset-management ML-resource-sharing AI-model-deployment

About hf-hub-lightning

nateraw/hf-hub-lightning

A PyTorch Lightning Callback for pushing models to the Hugging Face Hub 🤗⚡️

This tool helps machine learning engineers and researchers manage their PyTorch Lightning models. It automatically takes your trained models and associated logs and publishes them to the Hugging Face Hub. This means you can easily share your model checkpoints with others or keep a versioned history of your training runs.

model-management deep-learning-workflows machine-learning-ops pytorch-lightning model-sharing

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