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Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /

Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve adva...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Yıldırım, Savaş (Auteur), Asgari-Chenaghlu, Meysam (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Birmingham : Packt Publishing, 2021.
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Table of Contents From Bag-of-Words to the Transformers A Hands-On Introduction to the Subject Autoencoding Language Models Autoregressive and Other Language Models Fine-Tuning Language Models for Text Classification Fine-Tuning Language Models for Token Classification Text Representation Working with Efficient Transformers Cross-Lingual and Multilingual Language Modeling Serving Transformer Models Attention Visualization and Experiment Tracking.