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Natural language processing with transformers : (Record no. 35659)

000 -LEADER
fixed length control field 02544cam a2200373 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230905122515.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230504t20222022caua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098103246
International Standard Book Number 9781098103248
International Standard Book Number 9781098136796
International Standard Book Number 1098136799
041 ## - Language
Language code of text/sound track or separate title eng
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.N38
Item number T86 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Edition number 23
Item number T927
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tunstall, Lewis,
Relator term author.
9 (RLIN) 45669
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Natural language processing with transformers :
Remainder of title building language applications with Hugging Face /
Statement of responsibility, etc Lewis Tunstall, Leandro von Werra, and Thomas Wolf ; Foreword by Aur�elien G�eron.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Sebastopol, CA :
Name of publisher, distributor, etc O'Reilly Media,
Date of publication, distribution, etc 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 383 p. :
Other physical details ill. ;
Dimensions 24 cm.
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 or geographic name as entry element Natural language processing (Computer science)
Topical term or geographic name as entry element Electronic transformers.
9 (RLIN) 45670
Topical term or geographic name as entry element Natural Language Processing
Topical term or geographic name as entry element Traitement automatique des langues naturelles.
9 (RLIN) 45671
Topical term or geographic name as entry element Transformateurs electroniques.
9 (RLIN) 45672
Topical term or geographic name as entry element Electronic transformers.
Source of heading or term fast
9 (RLIN) 45673
Topical term or geographic name as entry element Natural language processing (Computer science)
Source of heading or term fast
Topical term or geographic name as entry element Natural language processing (Computer science)
Source of heading or term nli
Topical term or geographic name as entry element Electronic transformers
Source of heading or term nli
9 (RLIN) 45674
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Werra, Leandro von,
Relator term author.
9 (RLIN) 45675
Personal name Wolf, Thomas,
Relator term author.
9 (RLIN) 45676
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Shelving location Current location Public note Full call number
2023-09-05AUM Main Library2023-09-05 2023-09-05 Book  UBCC38.80 AUM-026045English Collections HallAUM Main Libraryinv 2023/0174006.35 T927

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