Hugging Face
Hugging Face is an open platform where the machine learning community shares, discovers and collaborates on models, datasets and applications. It hosts the Hugging Face Hub, Spaces for ML demos, inference providers, and paid compute and enterprise plans for teams building AI.
About Hugging Face
Overview
Hugging Face describes itself as "the AI community building the future" and as the platform where the machine learning community collaborates on models, datasets and applications. It combines a public hub for sharing ML work with tools for running, deploying and collaborating on AI projects.
Key features
- Models, Datasets and Spaces: Host and collaborate on unlimited public models, datasets and applications.
- Multimodal content: Explore work across text, image, video, audio and 3D.
- ML profile and portfolio: Share your work publicly and build an ML profile.
- Inference Providers: Access 45,000+ models from leading AI providers through a single, unified API with no service fees.
- Compute: Deploy on optimized Inference Endpoints or upgrade Spaces applications to a GPU in a few clicks, with on-demand GPU hardware starting at $0.
- Open source stack: The platform is built around community ML tooling such as Transformers, Diffusers, Safetensors, the Hub Python Library, Tokenizers, TRL, Transformers.js, smolagents, PEFT, Datasets, Text Generation Inference and Accelerate.
- Team and Enterprise: Enterprise-grade security, access controls and dedicated support, including SSO (SAML & OIDC), storage regions, audit logs, resource groups and repository analytics.
Use cases
- Discovering and downloading community models and datasets for machine learning projects.
- Publishing and demoing ML applications through Spaces.
- Running inference through a unified API or dedicated Inference Endpoints.
- Collaborating with a team on private repositories with governance and access controls.
- Learning and experimenting with ML alongside an open community.
Pricing
Hugging Face offers a free tier with unlimited public models, datasets and applications, plus paid options. A PRO account is available for $9/month, and Team plans start at $20/user/month. Enterprise plans add custom onboarding, SCIM provisioning, advanced security and dedicated support. Compute is billed separately: Spaces hardware starts at $0.03/hour for CPU Upgrade, and dedicated inference starts at $0.033/hour. Storage is billed per TB, with egress and CDN included at no extra cost.
Who it is for
Hugging Face is aimed at machine learning practitioners, researchers, developers and organizations that want to share, discover and build AI in the open, as well as teams that need managed compute and enterprise-grade collaboration.
Official website: huggingface.co