Natural Language Processing with Transformers (Revised Edition)

This practical audiobook, authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf, delves into the powerful transformer architecture, which has revolutionized natural language processing since its inception in 2017. Aimed at data scientists and coders, it offers hands-on guidance for training and scaling large models using the Hugging Face Transformers library, tackling core NLP tasks such as text classification and question answering. Listeners will also explore real-world applications, cross-lingual transfer learning, and strategies for optimizing transformer models in deployment, all while having access to an accompanying PDF for further reference.