tools
Hugging Face
Hugging Face hosts AI models, datasets, apps, libraries, and tools for building, sharing, and deploying machine-learning systems.
In inglese
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
Latest updates
- Transformers now runs llama.cpp quants
Transformers now runs llama.cpp quants.
- tokenizers v1: encode, decode and scaling, measured (v1)
tokenizers v1 covers encode, decode, and scaling.
- NeoMME: an efficient Multimodal-native and Multilingual Encoder
NeoMME is a multimodal-native and multilingual encoder.
Capabilities
- Choice of models — “Browse 2M+ models” source
- API — “Access 45,000+ models from leading AI providers through a single, unified API with no service fees.” source
- Official SDKs — “Python client to interact with the Hugging Face Hub” source
- Runs models for you — “Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub.” source
- Builds agents and workflows — “Smol library to build great agents in Python” source
Get it
Pricing
- Starting price
- $9/mo
- Prices checked
- 2026-09-24
PRO Account
- $9 /month
- 10× private storage capacity
- 2× public storage capacity
- 20× included inference credits
- 8× ZeroGPU quota and highest queue priority
- Host ZeroGPU, Gradio & Docker Spaces
- Spaces Dev Mode
Team
- $20 /month per user
- SSO support (SAML & OIDC)
- Data location control with Storage Regions
- Detailed action reviews with Audit Logs
- Granular access control via Resource Groups
- Repository usage Analytics
- Advanced auth policies and repository visibility controls
Enterprise
- $50 /month per user
- + All benefits from the Team plan
- Highest storage, bandwidth, and API rate limits
- Automated user management with SCIM provisioning
- Advanced security and access controls
- Managed billing with annual commitments
- Legal and Compliance processes