tools
Hugging Face
Hugging Face hosts AI models, datasets, apps, libraries, and tools for building, sharing, and deploying machine-learning systems.
Hugging Face provides the Hub for publishing and discovering models, datasets, and Spaces, plus open-source libraries, hosted inference, dedicated endpoints, storage, and compute services. Developers, researchers, teams, and organizations use it to train, evaluate, share, and deploy AI systems.
Basic Hub access and some compute options are free. Paid plans add storage, inference credits, organization controls, security features, and higher limits; hardware, endpoints, storage overages, and inference usage can cost extra.
Features
- Browse and publish machine-learning models
- Store, share, and inspect datasets
- Build and host Gradio or Docker Spaces
- Access models through a unified Inference Providers API
- Deploy models on dedicated Inference Endpoints
- Use open-source libraries such as Transformers and Diffusers
- Run training, fine-tuning, and evaluation Jobs
- Manage organization access with SSO, audit logs, and resource groups
Use cases
- Discover pretrained models for research or application development
- Publish datasets and model checkpoints for team or community use
- Build interactive AI demos with Spaces
- Deploy models through hosted inference infrastructure
- Train, fine-tune, and evaluate models with Hub tools
- Compare models and follow AI research through Hub resources
Pros
Cons
Pricing
- Starting price
- $9 /month
- Pricing checked
- 2026-09-19
PRO
$9 /month
- 10× private storage capacity
- 20× included inference credits
- Host ZeroGPU, Gradio & Docker Spaces
- Spaces Dev Mode
- Dataset Viewer for private datasets
Team
$20 /month
- SSO support
- Storage Regions
- Audit Logs
- Resource Groups
- Repository usage Analytics
- Centralized token control and approvals
Enterprise
$50 /month
- All benefits from the Team plan
- Highest storage, bandwidth, and API rate limits
- SCIM provisioning
- Advanced security and access controls
- Dedicated support