000			01795nam a22003017a 4500
005			20251031121003.0
008			251031b |||||||| |||| 00| 0 eng d
020			_a978-93-5542-032-9
040			_cAMAZON INDIA
100			_aTUNSTALL LEWIS
245			_aNATURAL LANGUAGE PROCESSING WITH TRANSFORMERS
246			_aBuilding Language Applications with Hugging Face
250			_aSECOND EDITION
260			_aCALIFORNIA _bO'REILLY _bSPD PVT LTD _c2023
300			_aXXII 386P
365			_b2275 _c₹
500			_aNLP
520			_a"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.
522			_aAIML
526			_aCSD & CSM & CSC
650			_aAIML
651			_aCOMPUTERS
658			_cR-23
700			_aLEANDRO VON WERRA
700			_aTHOMAS WOLF
760			_bSECOND INDIAN REPRINT
942			_2ddc _cREF _e2nd Edition _n0
999			_c18438 _d18438