DEV Community

Julien Simon
Julien Simon

Posted on • Originally published at julsimon.Medium on

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

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.

⭐️⭐️⭐️ Don’t forget to subscribe to be notified of future videos ⭐️⭐️⭐️

New to Transformers? Check out the Hugging Face course.

Heroku

Deploy with ease. Manage efficiently. Scale faster.

Leave the infrastructure headaches to us, while you focus on pushing boundaries, realizing your vision, and making a lasting impression on your users.

Get Started

Top comments (0)

Image of Datadog

Get the real story behind DevSecOps

Explore data from thousands of apps to uncover how container image size, deployment frequency, and runtime context affect real-world security. Discover seven key insights that can help you build and ship more secure software.

Read the Report

👋 Kindness is contagious

Dive into this thoughtful article, cherished within the supportive DEV Community. Coders of every background are encouraged to share and grow our collective expertise.

A genuine "thank you" can brighten someone’s day—drop your appreciation in the comments below!

On DEV, sharing knowledge smooths our journey and strengthens our community bonds. Found value here? A quick thank you to the author makes a big difference.

Okay