Natural language processing with transformers : (Record no. 751185)

MARC details
000 -LEADER
fixed length control field 02375cam a2200337 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1098103246
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098103248
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781098136796
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1098136799
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Edition number 23
Item number TUN
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 ; Foreword by Aurélien Géron.
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxii, 383 pages :
Other physical details illustrations ;
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 Collection code Home Library Current Location Shelving location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Dept. of Futures Studies Dept. of Futures Studies General Stacks 03/09/2025 006.35 TUN DFS4659 03/09/2025 Book