Hugging Face
The platform where the ML community builds and shares models.
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What is Hugging Face?
Hugging Face is a collaboration platform where the machine learning community builds, discovers, and shares models, datasets, and applications. It serves individuals and organizations looking to host unlimited public projects or access enterprise-grade AI tools. The platform supports all ML modalities, including text, image, video, audio, and 3D.
Hugging Face pricing
Pricing model: Freemium
Free tier for unlimited public resources. Enterprise solutions start at $20/user/month. GPU compute (for Inference Endpoints and Spaces) starts at $0.60/hour.
Hugging Face pros
- Hosts a massive open-source repository with 2M+ models, 1M+ applications, and 500k+ datasets.
- Provides an open-source stack and unified API to access over 45,000 models from leading AI providers with no service fees.
- Supports seamless collaboration across all machine learning modalities.
- Trusted by over 50,000 organizations, offering enterprise-grade features like Single Sign-On, audit logs, and resource groups.
Hugging Face cons
- Advanced hardware acceleration requires paid compute solutions.
- Hosting and collaborating on unlimited projects is restricted to public models, datasets, and applications.
- Enterprise security, access controls, and dedicated support require upgrading to a paid tier.
Frequently asked questions about Hugging Face
What type of content can users host and collaborate on?
Users can host and collaborate on unlimited public models, datasets, and ML applications.
How much does GPU compute cost on Hugging Face?
Deploying on optimized Inference Endpoints or upgrading Spaces applications to run on a GPU starts at $0.60 per hour.
What features are included in the Team and Enterprise plans?
Enterprise plans include enterprise-grade security, Single Sign-On, access controls, Regions, Priority Support, Audit Logs, Resource Groups, and a Private Datasets Viewer.