Hugging Face

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. It hosts over 2 million models, 500,000 datasets, and 1 million applications (Spaces). The platform supports all modalities including text, image, video, audio, and 3D. It provides open source libraries such as Transformers, Diffusers, and Tokenizers for building and deploying ML. Hugging Face also offers paid Compute and Enterprise solutions, including Inference Endpoints, GPU upgrades for Spaces, and enterprise features like SSO, audit logs, and priority support. Organizations like Ai2, Meta, Amazon, Google, Intel, Microsoft, Grammarly, and Writer use the platform.

Key Benefits

• Large community and ecosystem with millions of models and datasets
• Supports multiple modalities (text, image, video, audio, 3D)
• Open source libraries like Transformers and Diffusers
• Enterprise-grade security and support options