NATURAL LANGUAGE PROCESSING WITH TRANSFORMERS (Record no. 18438)

MARC details
000 -LEADER
fixed length control field 01795nam a22003017a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251031121003.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251031b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-93-5542-032-9
040 ## - CATALOGING SOURCE
Transcribing agency AMAZON INDIA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name TUNSTALL LEWIS
245 ## - TITLE STATEMENT
Title NATURAL LANGUAGE PROCESSING WITH TRANSFORMERS
246 ## - VARYING FORM OF TITLE
Title proper/short title Building Language Applications with Hugging Face
250 ## - EDITION STATEMENT
Edition statement SECOND EDITION
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. CALIFORNIA
Name of publisher, distributor, etc. O'REILLY
-- SPD PVT LTD
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XXII 386P
365 ## - TRADE PRICE
Price amount 2275
Currency code β‚Ή
500 ## - GENERAL NOTE
General note NLP
520 ## - SUMMARY, ETC.
Summary, etc. "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 ecosystemβ€”a library the authors helped buildβ€”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 ## - GEOGRAPHIC COVERAGE NOTE
Geographic coverage note AIML
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name CSD & CSM & CSC
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element AIML
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name COMPUTERS
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Curriculum code R-23
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name LEANDRO VON WERRA
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name THOMAS WOLF
760 ## - MAIN SERIES ENTRY
Edition SECOND INDIAN REPRINT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Reference
Edition 2nd Edition
Suppress in OPAC No
Holdings
Date last seen Total checkouts Full call number Barcode Cost, replacement price Price effective from Koha item type Public note Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Bill No Bill Date
31/10/2025   006.35 TUN 54096 2275.00 06/09/2025 Reference NLP   Dewey Decimal Classification   Not for Loan   Central Library, Aditya Institute of Technology and Management Central Library, Aditya Institute of Technology and Management GF-03/L 06/09/2025 PURCHASE 2275.00 TQBF-222 06/09/2025