Transformer models - Hugging Face Course

#artificialintelligence 

This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem -- Transformers, Datasets, Tokenizers, and Accelerate -- as well as the Hugging Face Hub. Matthew Carrigan is a Machine Learning Engineer at Hugging Face. He lives in Dublin, Ireland and previously worked as an ML engineer at Parse.ly and before that as a post-doctoral researcher at Trinity College Dublin. He does not believe we're going to get to AGI by scaling existing architectures, but has high hopes for robot immortality regardless. Lysandre Debut is a Machine Learning Engineer at Hugging Face and has been working on the Transformers library since the very early development stages.

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