Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker
Read OriginalThis technical guide details how to perform distributed training of sequence-to-sequence models like BART and T5 for text summarization. It leverages the Hugging Face Transformers library, Amazon SageMaker's Data Parallelism, and the new Hugging Face Deep Learning Containers to accelerate model training and deployment.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
4
Quoting Thariq Shihipar
Simon Willison
•
1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop
•
1 votes