Hugging Face – The AI community building the future.

What is Hugging Face?

Hugging Face is an AI community building the future, providing a platform for the machine learning community to collaborate on models, datasets, and applications.

Features of Hugging Face

• Host and collaborate on unlimited public models, datasets, and applications
• Explore all modalities including text, image, video, audio, or even 3D
• Build your portfolio by sharing your work with the world and building your ML profile
• Accelerate your ML with paid Compute and Enterprise solutions
• Enterprise solutions provide advanced platform to build AI with enterprise-grade security, access controls, and dedicated support

How to use Hugging Face?

• Create an account to start exploring and collaborating on models, datasets, and applications
• Browse through 400k+ models, 150k+ applications, and 100k+ datasets
• Use the HF Open source stack to move faster
• Deploy on optimized Inference Endpoints or update your Spaces applications to a GPU in a few clicks

Pricing of Hugging Face

• Compute: Starting at $0.60/hour for GPU
• Enterprise: Starting at $20/user/month with features like Single Sign-On, Regions, Priority Support, Audit Logs, Resource Groups, and Private Datasets Viewer

Helpful Tips for Hugging Face

• Explore the Open Source projects like Transformers, Diffusers, and more
• Check out the documentation and blog for tutorials and guides
• Join the community on GitHub, Twitter, LinkedIn, and Discord
• Learn from the resources and forum

Frequently Asked Questions about Hugging Face

• What is Hugging Face used for? Hugging Face is used for building, discovering, and collaborating on machine learning models, datasets, and applications.
• What is the purpose of Hugging Face? The purpose of Hugging Face is to provide a platform for the machine learning community to collaborate and build AI models.
• How does Hugging Face work? Hugging Face works by providing a platform for users to host and collaborate on models, datasets, and applications, and offering paid Compute and Enterprise solutions for acceleration.