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Copy file name to clipboardExpand all lines: docs/publishing/hugging-face.qmd
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Hugging Face is a comprehensive platform that offers a wide array of machine learning models, particularly in natural language processing (NLP) and computer vision. It is designed to facilitate the training, deployment, and use of open-access machine learning models, making it easier for developers and researchers to access state-of-the-art models.
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Hugging Face also provides application and static site hosting as part of its [Spaces project](https://huggingface.co/docs/hub/spaces-overview). You can use [Hugging Face Spaces](https://pages.github.com/) to render and host Quarto websites as a way to document and present your work.
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Hugging Face also provides application and static site hosting as part of its [Spaces project](https://huggingface.co/docs/hub/spaces-overview). You can use [Hugging Face Spaces](https://huggingface.co/spaces) to render and host Quarto websites as a way to document and present your work.
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Quarto's integration in Hugging Face Spaces happens through a [Docker](https://www.docker.com/) image created by the Quarto team that Hugging Face has made easily available for authors as a template.
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