From the course: MLOps Tools: MLflow and Hugging Face

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Azure ML Python SDK

Azure ML Python SDK - Hugging Face Tutorial

From the course: MLOps Tools: MLflow and Hugging Face

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Azure ML Python SDK

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- [Instructor] We've gone through a couple of the things that you can do with Hugging Face models and data sets and uploading those to Azure. But I wanted to take a moment to describe a little bit of the Azure Machine Learning Python SDK. It is a great way to programmatically interact with what we've already seen within the portal and Azure Machine Learning Studio. So all of the steps that I've already covered in the UI mostly are going to have parity with the Python SDK. This allows you to do all kinds of different things, including setting up infrastructure, configuring nodes. You can see here that some of the key areas that are essential here for this SDK. I specifically like the ability to be able to deploy web services. So you can actually deploy and serve a model right away, but you can also get trigger training models, and doing that with specialized infrastructure. Now specifically, I want to use a couple of the things that we've already touched on. One is registering a model.…

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