TUNSTALL LEWIS <br/><br/>
NATURAL LANGUAGE PROCESSING WITH TRANSFORMERS 
 Building Language Applications with Hugging Face 

 - SECOND EDITION 
 - CALIFORNIA  O'REILLY  SPD PVT LTD  2023 
 - XXII 386P 
<br/><br/> NLP 
<br/><br/> "Natural Language Processing with Transformers," authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf, serves as a comprehensive and practical guide for data scientists and machine learning engineers on applying state-of-the-art Transformer models to real-world Natural Language Processing tasks. Centered almost entirely on the powerful Hugging Face ecosystem—a library the authors helped build—the book moves beyond theory to provide hands-on instruction for the complete model lifecycle. It meticulously walks readers through loading data, tokenization, and fine-tuning powerful pre-trained models like BERT and GPT for a wide variety of applications, including text classification, named entity recognition (NER), question answering, and text summarization. Furthermore, it addresses the critical, real-world challenges of deploying models to production, covering essential optimization techniques such as knowledge distillation and quantization to make models smaller and faster. 
<br/><br/>AIML 
<br/><br/>
<br/><br/><label>ISBN: </label>978-93-5542-032-9 
<br/><br/><label>Subjects--Topical Terms: </label><br/>AIML
<br/><br/><label>Subjects--Geographic Terms: </label><br/>COMPUTERS
<br/><br/><label>Index Terms--Curriculum Objective: </label>--R-23