Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. It offers tools for text, image, video, audio, and 3D modalities, enabling users to build, share, and deploy ML models efficiently.
Freemium
Free
How to use Hugging Face?
Hugging Face allows users to explore, experiment, and collaborate on machine learning projects. It provides tools for model evaluation, dataset viewing, and application deployment, making it easier to build and share ML solutions.
Hugging Face 's Core Features
Host unlimited public models and datasets
Create and manage organizations with no member limits
Access the latest ML tools and open-source libraries
Deploy models on optimized Inference Endpoints
Upgrade Spaces with custom on-demand hardware
Collaborate on ML projects with Git-based tools
Build and share your ML portfolio with the community
Hugging Face 's Use Cases
Data scientists can explore and experiment with over 1M+ models to find the best fit for their projects.
Developers can deploy ML applications using Spaces, choosing from a variety of hardware options for optimal performance.
Enterprises can accelerate their AI roadmap with enterprise-grade security, access controls, and dedicated support.
Researchers can collaborate on datasets and models, sharing insights and innovations with the global ML community.
Educators can use Hugging Face to teach machine learning, providing students with hands-on experience with state-of-the-art tools.
Hugging Face 's Pricing
PRO
$9/month
Unlock advanced HF features including ZeroGPU, Dev Mode for Spaces, and early access to upcoming features.
Enterprise Hub
$20/user/month
Accelerate your AI roadmap with SSO, SAML support, Storage Regions, Audit logs, and more.
Spaces Hardware
Starting at $0/hour
Upgrade your Space compute with optimized hardware from CPU to GPU to Accelerators.
Inference Endpoints
Starting at $0.032/hour
Deploy models on fully managed infrastructure with autoscaling and enterprise security.