Feb. 15, 2022, 8:55 a.m. | Heiko Hotz

Towards Data Science - Medium towardsdatascience.com

Use SageMaker Processing Jobs to easily augment your NLP Dataset with Hugging Face’s Transformer Models

Photo by Markus Winkler on Unsplash

Joint blog post by Saubia Khan, João Moura, and Heiko Hotz. Opinions are our own.

What is this blog post about?

Machine learning models are very data-intensive and that is especially true for Natural Language Processing (NLP) models. As an example, let us consider an NLP model that tries to detect whether the sentiment of a …

amazon amazon sagemaker augmentation aws data data-augmentation hugging face nlp sagemaker

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Scientist

@ ITE Management | New York City, United States