AWS re:Invent 2021 — A first look at SageMaker Studio Lab

In this video, I demo SageMaker Studio Lab, a managed Jupyter notebook service running on AWS.

Using a CPU runtime, I first run a simple Hugging Face example based on the Pipeline API. Then, I switch to a GPU runtime and run a fine-tuning example on DistilBERT with the Trainer API.

Along the way, I inspect the infrastructure resources available in both runtimes. I also show you how to create your own conda environment to keep your dependencies neatly organized.

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New to Transformers? Check out the Hugging Face course.