Hugging Face is an open community platform where machine learning practitioners host, discover, and collaborate on over two million models, datasets, and AI applications.
About
Hugging Face is a collaboration platform for the machine learning community, built around the idea of advancing artificial intelligence through open source and open science. It addresses a core problem in modern ML work: models, datasets, and demo applications are scattered across the internet, which makes them hard to find, version, share, and build upon.
The platform, often called the Hub, lets users host unlimited public models, datasets, and applications, browse contributions from more than 400,000 organizations, and interact with them through a consistent set of tools. Hugging Face also maintains widely used open-source libraries such as Transformers, Diffusers, Tokenizers, and PEFT, and offers paid compute options including Inference Endpoints and GPU-backed Spaces for teams that need to deploy or scale their work.
Key Features
Pricing & Fees
- Pricing: Public hosting of models, datasets, and Spaces is free; Team plans start at $20 per user per month, and Enterprise pricing requires contacting Hugging Face directly.
- Compute: GPU access for Spaces and Inference Endpoints starts at $0.60 per hour.
- Free tier: Unlimited public repositories are available at no cost, and HuggingChat offers a free chat interface built on the platform.
- Community scale: More than 400,000 organizations use Hugging Face, including Google, Microsoft, Amazon, Meta, Intel, Ai2, Grammarly, and Writer.
Who It's For
Hugging Face serves machine learning engineers, researchers, data scientists, and students who need to find pretrained models or datasets and share their own work. AI application developers use Spaces and Inference Providers to prototype and host demos without managing infrastructure, while enterprises use Team and Enterprise plans for private collaboration, security controls, and dedicated support. Open-source maintainers and research labs also use the Hub to distribute models and libraries to the wider community.
FAQ
What is Hugging Face?Hugging Face is an online platform where the machine learning community hosts, discovers, and collaborates on models, datasets, and AI applications, supported by open-source software and paid compute services.
Is Hugging Face free to use?Yes, hosting unlimited public models, datasets, and applications is free; paid options include Team plans from $20 per user per month and GPU compute starting at $0.60 per hour.
What can you do with Hugging Face Spaces?Spaces host over 1 million AI applications and demos, including apps that run at no cost on the platform's Zero infrastructure, and can be upgraded to dedicated GPUs.
Which companies use Hugging Face?More than 400,000 organizations use the platform, including Google, Microsoft, Amazon, Meta, Intel, and Ai2.
What open-source libraries does Hugging Face maintain?The company maintains Transformers, Diffusers, Tokenizers, PEFT, TRL, Accelerate, Safetensors, Transformers.js, smolagents, and the Hub Python library, among others.
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