About
What is Hugging Face?
Hugging Face serves as a central hub for the machine learning community, offering a platform to collaborate on a vast array of AI models, datasets, and applications. Users can explore over 2 million models, 1 million applications, and 500,000 datasets, covering modalities like text, image, video, audio, and 3D. The platform supports open-source development with tools like Transformers, Diffusers, and Accelerate, facilitating state-of-the-art AI research and deployment. It provides hosting for public and private repositories, compute solutions for inference and training, and enterprise-grade features for teams, making it a comprehensive ecosystem for advancing and democratizing artificial intelligence.
Best used for
Ideal for data scientists and developers who need to collaborate on machine learning projects, share models and datasets, and deploy AI applications. Especially valuable for those seeking a comprehensive ecosystem with open-source tools, compute resources, and enterprise-grade features for team collaboration and secure deployment.
Common actions
AutomationAI chatbotsTask automationContent generationEducationaifun tools
Capabilities
Key features
- Host AI models
- Share datasets
- Deploy applications
- Open-source libraries
- Inference Endpoints
- GPU compute
Target Audience
data scientistdeveloperstartup founderproduct manager
Integrations
Not yet documentedPricing & Plans
Freemium · Paid · Enterprise · Usage-based
FAQs
What are the benefits of a Hugging Face PRO Account?
A PRO Account, priced at $9/month, offers 10x private storage, 2x public storage, 20x included inference credits, 8x ZeroGPU quota with highest priority, Spaces Dev Mode, personal blog publishing, and a PRO badge to show your support.
How does Hugging Face support enterprise teams?
Enterprise plans offer advanced features like SSO support, data location control, audit logs, granular access controls, repository usage analytics, centralized token control, and dedicated support, starting at $50 per user per month for custom onboarding.
What kind of compute resources are available for Spaces and Inference Endpoints?
Hugging Face provides a range of CPU and GPU options for Spaces, including Nvidia T4, L4, L40S, A10G, A100, and H200, with hourly pricing. Inference Endpoints also offer various CPU and GPU instances from AWS, Azure, and GCP, including specialized hardware like Inf2 Neuron and TPU v5e.
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