Hugging Face is a central hub for data scientists, researchers, and ML engineers to share ideas, get support, and contribute to open-source projects. The platform has a repository where users can store models, datasets, and spaces, and provides a range of resources and documentation.
When users create a new model on the platform, it is essentially a Git repository for the files related to the ML model, including code and associated assets. Users can control the visibility of their models and specify a license. Datasets on the platform are data collections that users can share and explore.
Spaces are collaborative workspaces that users can create to work on models and datasets with other users. Hugging Face also offers a model hub, a directory of models that users can discover and use, and a transformer library, a set of tools for using models.
