Hugging Face
Free tierThe GitHub of AI — host, share, and run models with 500K+ models, datasets, and Spaces.
Free tier available·Technical·Powered by Community (various)·API available·Open source
Key strengths
Largest open-source ML model and dataset hub (2M+ models, 500k+ datasets)Unified API for 45,000+ models from leading AI providersStrong open-source ecosystem (Transformers, Diffusers, PEFT, TRL, etc.)Enterprise-grade collaboration with SSO, audit logs, and access controlsCommunity-driven platform with 50,000+ organizations
Free tier + paid plans · from $20 USD/mo
New York, US
Founded 2016
Self-hostable
Facts verified against huggingface.co on
Recent changes
- Plans updated: Team & Enterprise starting at $20/user/month; GPU compute starting at $0.60/hour for Inference Endpoints
- Starting price: $9/mo → $20/mo
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Hugging Face's API provides programmatic access to 45,000+ models spanning text, vision, audio, and multimodal tasks. Core open-source libraries available via pip include:
- Transformers – model loading, fine-tuning, and inference
- Diffusers – diffusion model pipelines
- PEFT – parameter-efficient fine-tuning methods
- TRL – reinforcement learning from human feedback (RLHF) training
- Accelerate – distributed and mixed-precision training
- Tokenizers – fast, Rust-backed tokenization
- Safetensors – secure, fast tensor serialization
- Text Generation Inference – optimized LLM serving
- Transformers.js – in-browser ML inference
- smolagents – lightweight agent framework
All libraries integrate with PyTorch. Inference Endpoints offer REST-based deployment with GPU compute from $0.60/hour. Enterprise tiers add SSO, audit logs, and role-based access controls. The platform is open-source with 166,982 GitHub stars.
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