Hugging Face is the leading open-source platform and community for machine learning, often called 'GitHub for ML.' Its Hub hosts millions of models, datasets and demo apps, and its Enterprise Hub adds security, compliance and managed infrastructure for organizations.

Category

AI Models & APIs

Pricing

Freemium, Subscription, Usage-based

Target Market

Data Scientists, ML Engineers, Enterprise Developers, AI Researchers, CTOs, AI/ML Platform Teams

Founded

2016

Headquarters

New York City, New York, USA

Customers

50,000+ organizations on the platform; 2,000+ paying enterprise customers (as of June 2025), including Intel, Pfizer, Bloomberg and eBay

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  Model & Dataset Hub

  A Git-based platform hosting over 2 million models and 500,000+ datasets with versioning, model cards and access controls.

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  Transformers & open-source libraries

  Widely used Python libraries (Transformers, Datasets, Diffusers, Tokenizers) providing state-of-the-art pretrained models for text, vision, audio and multimodal tasks.

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  Spaces

  Hosted environment for building and sharing interactive ML demo apps, with optional GPU and ZeroGPU compute.

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  Inference Endpoints & Providers

  Deploy any model to dedicated, autoscaling GPU/CPU infrastructure, or route requests through an OpenAI-compatible gateway to multiple inference providers.

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  Enterprise Hub

  Adds SSO/SAML, audit logs, storage regions, SCIM provisioning, resource groups and dedicated support for organizations.

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  AutoTrain & fine-tuning

  No-code and low-code tooling to fine-tune and customize models on private data without managing infrastructure.

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  Open-source model discovery and reuse

  Find, download and integrate pretrained open-weight models for NLP, vision, audio and multimodal applications.

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  Production model deployment

  Serve fine-tuned models on dedicated, secure and scalable Inference Endpoints without building custom serving infrastructure.

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  Enterprise AI collaboration

  Centralize a team's models, datasets and Spaces with governance, access control and compliance via the Enterprise Hub.

The HF Hub is free for public use. Paid tiers are PRO ($9/mo), Team (from $20/user/mo) and Enterprise (from $50/user/mo). Compute is usage-based: Inference Endpoints start around $0.033/hour for CPU and scale up to multi-GPU instances (e.g., NVIDIA A100/H100/H200), and storage is priced per TB. Volume discounts apply at higher storage tiers; custom pricing is available above 500TB.