Introduction to Hugging Face on Amazon SageMaker | Amazon Web Services

AWS collaborated with Hugging Face to create Hugging Face AWS Deep Learning Containers (DLCs), which provide data scientists and ML developers a fully managed experience for building, training, and deploying state-of-the-art NLP models on Amazon SageMaker.
Learn more at: go.aws/3D2Uxk8
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[@romansvetkin708]

Thank you! Where can I find the notebooks from the video?

[@mexicanmax227]

This is unreal!! Very exciting!!

[@user-wr4yl7tx3w]

How do you get to the demo notebook?

[@melanieyennam795]

Is this example code available for reference?

[@babasahebpinjar6290]

Very well explained

[@zarbose5247]

is the specific notebook featured in this video on github

[@nat.serrano]

this was great, I prefer this presentation from an engineern with skin in the game, than a pretty presentation put together by the comms team

[@saurabhk1087]

Where can I find these notebooks?

[@awssupport]

Hi! 🙂 Based on the related video, I believe the book you're interested in is titled: "Natural Language Processing with Transformers, Revised Edition: Building Language Applications With Hugging Face". I did some checks, & found that it's sold on the Amazon website: go.aws/3KWjzav. ✅ ^AR

[@caiyu538]

Where is part 2

[@awssupport]

Thanks for using our services, Cai! Here's where you can find part 2 & 3 of this video topic: go.aws/3LEAoFB & go.aws/41b3G4L. 🎥 You may find this additional resource from the video description helpful: go.aws/3LZgR4f. 🔗 I hope these help you along your cloud journey! ☁️ ^TE

[@caiyu538]

Thank you so much.

[@awssupport]

I'm glad we could get you pointed in the right direction, Cai. Enjoy! 🤝 ^BD

[@channel_panel193]

neeeddd terraformmm