Models & resources
HuggingFace
The open-source hub hosting 2M+ models and 500k+ datasets for AI collaboration
What is HuggingFace?
Hugging Face is a platform dedicated to advancing and democratizing artificial intelligence through open source and open science.It serves as the central collaboration hub for the machine learning community, allowing users to host, discover, and collaborate on models, datasets, and applications.
Supporting modalities such as text, image, video, audio, and 3D, the platform hosts over 2 million models and 500,000 datasets.Beyond resource hosting, Hugging Face builds essential open-source tooling like Transformers, Diffusers, and Tokenizers to lower barriers to entry and accelerate AI innovation.
From individual developers to large enterprises, users can leverage Hugging Face infrastructure for model training, deployment, and inference.The platform offers solutions ranging from free public Spaces to enterprise-grade security and support, empowering more than 400,000 organizations to build the future of AI.
Key features
- Massive Model HuBrowse and download over 2 million pre-trained models covering NLP, computer vision, and other domains.
- Extensive DataseAccess more than 500,000 public datasets to provide a high-quality foundation for training and fine-tuning ML models.
- Spaces ApplicatiDeploy and share machine learning demos with one click, supporting CPU or GPU environments for easy testing and showcasing.
- Open Source StacUtilize core libraries like Transformers, Diffusers, and Safetensors to simplify model loading, training, and distribution.
- Inference EndpoiDeploy on optimized inference endpoints or upgrade Spaces applications to GPU with just a few clicks for efficient inference.
- Enterprise SuppoProvide teams with advanced security and management features including SSO, audit logs, private datasets, and resource groups.
How to use it
- Sign up for a Hugging Face account and log in to the platform.
- Use the search bar to find specific models, datasets, or Space applications.
- Review model cards to understand usage instructions, licenses, and dependencies.
- Load models locally using Python libraries like transformers, or create demo apps in Spaces.
- Configure Inference Endpoints or upgrade Space hardware resources for higher performance if needed.
- Engage with the community by sharing your own models or datasets to build your ML profile.
Where it fits
- Model Research &Researchers leverage massive open-source models and datasets to experiment and quickly validate new algorithms.
- Application ProtDevelopers use Spaces to rapidly build interactive demos, showcasing actual AI capabilities to clients or teams.
- Enterprise AI DeEnterprises use enterprise features to securely host private models and data, providing stable API services via inference endpoints.
Pricing and free quota
The platform offers free public resource hosting.Paid services include Team & Enterprise plans (starting at $20/user/month) and compute resources (GPU starting at $0.60/hour).For detailed pricing, please refer to the official website.
Who it is for
- Machine Learning Engineers
- AI Researchers
- Data Scientists
- Software Developers
- Enterprise Tech Teams
FAQ
Is Hugging Face free to use?
Signing up and using public models, datasets, and Spaces is free.However, advanced compute resources, enterprise-grade security features, or private storage require payment.
Can I host private models?
Yes.With Team or Enterprise plans, users can create private datasets and model repositories with enhanced access controls and security.
How can I use Hugging Face models locally?
You can easily download and load models into your local environment using Python code with Hugging Face's open-source libraries like Transformers or Diffusers.