Hugging Face on Microsoft Azure

Hugging Face collaborates with Microsoft Azure across open science, open source, and cloud, to enable companies and individuals to build their own AI with the latest open models from Hugging Face and the latest infrastructure features from Microsoft Azure.

This repository contains the documentation for Hugging Face on Microsoft Azure (Microsoft Foundry and Azure Machine Learning), and how the Azure community can benefit from our partnership, as well as including detailed examples ranging a lot of different scenarios and use-cases, all leveraging open-source models and solutions within the Microsoft Azure robust and secure infrastructure.

Documentation

The Hugging Face on Microsoft Azure documentation lives at https://huggingface.co/docs/microsoft-azure

Setup

Python +3.11 and your preferred dependency manager

uv venv --python 3.11
uv pip install -r requirements.txt

Then you can leverage the Makefile:

$ make help
Usage:
  make docs   - Auto-generate the examples for the docs
  make clean  - Remove the auto-generated docs
  make serve  - Serve the docs locally at http://localhost:5173

[!WARNING]
The preview for the index won't show, and the documentation won't be rendered as it would
within the https://huggingface.co/docs/microsoft-azure. To make sure that you are able to preview the
docs, just create a PR and the doc-builder bot will build those and comment with the URL
of the docs pointing to your PR.

[!WARNING]
When contributing note that the examples available at https://huggingface.co/docs/microsoft-azure
are dynamically generated from the examples/ directory when building the docs, so if
you want to either add or update any example, you need to directly edit those under examples/.

Additionally, you need to be aware and run make clean to prevent the auto-generated
content from being pushed into main.