Hugging Face

Hugging Face is the open platform at the centre of much of the machine-learning world. It hosts an enormous public collection of AI models and datasets that anyone can browse, download, and use, along with Spaces — interactive in-browser demos — and the widely used open-source libraries (such as Transformers) that developers build on. It lives at huggingface.co.

For most people its value is threefold: try models directly in the browser through Spaces without installing anything; find and download open models and datasets to run yourself; and, for developers, use the free libraries and a personal account to build and share ML projects. It is as much a community and a registry as it is a single product.

It fits developers, researchers, students, and hobbyists who want hands-on access to open models rather than a single hosted chatbot — people who want to see how things work, run models themselves, or ship their own.

To begin, browse huggingface.co with no account, or create a free account to save work, push models and datasets, and run more. Opening a Space is the quickest way to try a model in seconds.

The honest limits. The hub, the libraries, and public models and datasets are free, but Hugging Face also sells paid products — a Pro account, and hosted compute such as Inference Endpoints and paid Spaces hardware — where you pay for the machines that run models at scale. Running large models yourself needs real hardware, and open models vary widely in quality and licensing, so check each model's licence and card before relying on it.