SageMaker Fridays Season 3, Episode 5 — NLP at scale with Hugging Face and distributed training
In this episode, we use state of the art models for natural language processing available in the Hugging Face collection. Then, we fine-tune BERT on a sentiment analysis dataset, and predict with the model. Finally, we show you how to scale your training jobs with data parallelism and model parallelism.
AWS and Hugging Face collaborate to simplify and accelerate adoption of Natural Language Processing…
Just like computer vision a few years ago, the decade-old field of natural language processing (NLP) is experiencing a…aws.amazon.com
Just like computer vision a few years ago, the decade-old field of natural language processing (NLP) is experiencing a…aws.amazon.com
New - Data Parallelism Library in Amazon SageMaker Simplifies Training on Large Datasets | Amazon…
Today, I'm particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes…aws.amazon.com
Today, I'm particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes…aws.amazon.com