Natural language processing with transformers : (Record no. 752961)

MARC details
000 -LEADER
fixed length control field 02253cam a2200301 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789355420329
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Edition number 23
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Tunstall, Lewis
245 10 - TITLE STATEMENT
Title Natural language processing with transformers :
Sub Title building language applications with Hugging Face /
Statement of responsibility, etc Lewis Tunstall, Leandro von Werra, and Thomas Wolf
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Mumbai :
Name of publisher O' reilly,
Year of publication 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxii, 383p. ;
Other physical details ill. ,
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Hello transformers -- Text classification -- Transformer anatomy -- Multilingual named entity recognition -- Text generation -- Summarization -- Question answering -- Making transformers efficient in production -- Dealing with few to no labels -- Training transformers from scratch -- Future directions.
520 ## - SUMMARY, ETC.
Summary, etc Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Natural language processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Electronic transformers.
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Natural Language Processing
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Traitement automatique des langues naturelles.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Transformateurs électroniques.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Electronic transformers.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Natural language processing (Computer science)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Natural language processing (Computer science)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Electronic transformers
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Werra, Leandro von,
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wolf, Thomas,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Computer Science Dept. of Computer Science 06/11/2025 006.35 TUN/N DCS5224 06/11/2025 Book