Hugging Face

Hugging Face is a hub for sharing machine learning models, datasets and demo apps; its homepage lists 2M+ models, 500k+ datasets and 1M+ apps. It maintains open-source libraries such as Transformers, and offers Inference Endpoints for deploying models to production, with PRO, Team and Enterprise paid plans.

• Model hub with 2M+ models, 500k+ datasets and 1M+ apps
• Transformers library for NLP, computer vision, and audio tasks
• Datasets library for loading and sharing datasets
• Spaces for hosting ML demo apps
• Inference Endpoints for managed production deployment
• Git-based version control for models and datasets
• PRO, Team and Enterprise plans

• Natural language processing and understanding
• Computer vision and image classification
• Speech recognition and generation
• Model fine-tuning and customization
• Research and experimentation
• Production ML model deployment
• Educational AI projects
• Collaborative ML development

• Model Zoo
• Papers with Code
• GitHub
• Kaggle