DEV Community

Julien Simon
Julien Simon

Posted on • Originally published at julsimon.Medium on

Azure ML: start experimenting with Hugging Face models in minutes!

In this video, I show you how to deploy Hugging Face models in one click on Azure, thanks to the model catalog in Azure ML Studio. Then, I run a small Python example to predict with the model.

To get started, you simply need to navigate to the Azure ML Studio website and open the model catalog. Then, you can click on a model to select it. This will initiate the setup process, which takes care of all the required infrastructure for you. Once the setup is complete, Azure ML Studio provides a sample program and you can start testing the model immediately!

If you want to experiment with the latest state-of-the-art models, Azure ML Studio provides a hassle-free way to do so. Try it out and explore the possibilities of cutting-edge AI models with just one click!

Sentry image

Hands-on debugging session: instrument, monitor, and fix

Join Lazar for a hands-on session where you’ll build it, break it, debug it, and fix it. You’ll set up Sentry, track errors, use Session Replay and Tracing, and leverage some good ol’ AI to find and fix issues fast.

RSVP here →

Top comments (0)

A Workflow Copilot. Tailored to You.

Pieces.app image

Our desktop app, with its intelligent copilot, streamlines coding by generating snippets, extracting code from screenshots, and accelerating problem-solving.

Read the docs

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay