huggingface_hub and Hugging-Face-Tutorials

The official Python client library provides programmatic access to the Hugging Face Hub API, while the tutorial repository offers educational guidance on how to use that client—making them complements where one teaches usage of the other.

huggingface_hub
87
Verified
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 6/25
Adoption 8/25
Maturity 8/25
Community 17/25
Stars: 3,405
Forks: 955
Downloads:
Commits (30d): 89
Language: Python
License: Apache-2.0
Stars: 43
Forks: 10
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No risk flags
No License No Package No Dependents

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 Hugging-Face-Tutorials

TirendazAcademy/Hugging-Face-Tutorials

Getting started with Hugging Face

This provides a comprehensive guide for anyone looking to use pre-trained machine learning models for tasks like text classification, image recognition, or speech analysis. It takes you from understanding what Hugging Face is, through finding and using existing models and datasets, to deploying simple applications. Researchers, data scientists, and machine learning practitioners who want to leverage cutting-edge AI models without building them from scratch would find this useful.

Natural Language Processing Computer Vision Audio Analysis Machine Learning Deployment AI Research

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