# [Hugging Face](<https://huggingface.co/>)

[huggingface.co](<https://huggingface.co/>)

The open home of machine learning: 3 million models, 500,000 datasets and 1 million apps, with hosted inference, Spaces and the Transformers libraries.

[Development](<https://creatorstoolbox.com/communities/development>)[Open Source](<https://creatorstoolbox.com/communities/open-source>)[Artificial Intelligence](<https://creatorstoolbox.com/communities/ai>)

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## About Hugging Face

Hugging Face is the platform where the open machine learning community shares models, datasets and applications. More than 18 million developers, researchers and creators use it to publish and discover open source and open-weight models, host demos as Spaces, and run models through inference endpoints and third-party providers. Its libraries, including Transformers, Diffusers and Datasets, are the standard way most open models are loaded and fine-tuned.

Public work is free; paid plans add private repositories, compute and team features. In September 2026 NVIDIA agreed to acquire Hugging Face, saying the platform will stay open and that NVIDIA compute will not be required to build on or deploy through it.

Pricing model: Freemium

## Features

- Hub of 3 million open models, 500,000 datasets and 1 million apps

- Spaces for hosting demos and apps

- Inference endpoints and providers for running models

- Transformers, Diffusers and Datasets libraries

- Free for public work; paid plans for private repos, compute and teams

## FAQs

Common questions about Hugging Face

Is Hugging Face free?

Public models, datasets and Spaces are free to host and use. Paid plans add private repositories, more compute for Spaces and inference, and organisation features.

What are Spaces?

Spaces are hosted apps, usually Gradio or Streamlit, that let you try a model in the browser or share a demo of your own.

Did NVIDIA buy Hugging Face?

NVIDIA agreed to acquire Hugging Face in September 2026 for about $12.93 billion. NVIDIA says the platform will remain open: developers choose their models, frameworks, clouds and hardware, and NVIDIA compute is not required.

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