What is Hugging Face

Hugging Face is a collaborative platform for the machine learning community, enabling users to create, discover, and collaborate on models, datasets, and applications. It supports various modalities like text, image, video, audio, and 3D, and provides tools for building and sharing ML projects.

Top Features

- Models: Access over 400,000 models, including trending ones like DeepSeek-V3 and SmallThinker-3B-Preview.
- Datasets: Explore and share over 100,000 datasets for tasks like NLP, computer vision, and audio.
- Spaces: Host and run ML applications, with options for GPU upgrades and scalable deployment.
- Open Source Tools: Utilize state-of-the-art libraries like Transformers, Diffusers, and Tokenizers for ML development.
- Enterprise Solutions: Advanced platform with enterprise-grade security, access controls, and dedicated support.

Pricing

- Compute: Starting at $0.60/hour for GPU-based inference endpoints.
- Enterprise: Starting at $20/user/month, offering features like Single Sign-On, priority support, and private datasets.

FAQs

- What is Hugging Face used for? It’s a platform for building, sharing, and collaborating on machine learning models, datasets, and applications.
- Is Hugging Face free? Yes, it offers free access to public models, datasets, and spaces, with paid options for compute and enterprise features.
- What are Hugging Face Spaces? Spaces are hosted environments for running and sharing ML applications, with options for GPU upgrades.
- What open-source tools does Hugging Face provide? Tools like Transformers, Diffusers, Tokenizers, and Datasets for various ML tasks.
- Who uses Hugging Face? Over 50,000 organizations, including Meta, Google, Microsoft, and Intel, use Hugging Face for AI development.