Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

S. M. JainIntroduction to Transformers for NLPhttps://doi.org/10.1007/978-1-4842-8844-3_4

4. Hugging Face

Shashank Mohan Jain¹  

(1)

Bangalore, India

 

If you have even a passing familiarity with the advancements that have been made in the fields of machine learning and artificial intelligence in the years since 2018, you have almost certainly become aware of the tremendous strides that have been taken in the field of natural language processing (also known as NLP). Most of the progress in this area can be attributed to large language models , also known as LLMs. The architecture behind these LLMs is the transformer’s encoder-decoder, which we discussed in Chapter ...