EAN: 9781484288436

INTRODUCTION TO TRANSFORMERS FOR NLP - SHASHANK...

Get a hands-on introduction to Transformer architecture using the Hugging Face library. This
book explains how Transformers are changing the AI domain  particularly in the area of natural
language processing. This book covers Transformer architecture and its relevance in natural
language processing (NLP). It starts with an introduction to NLP and a progression of language
models from n-grams to a Transformer-based architecture. Next  it offers some basic
Transformers examples using the Google colab engine. Then  it introduces the Hugging Face
ecosystem and the different libraries and models provided by it. Moving forward  it explains
language models such as Google BERT with some examples before providing a deep dive into
Hugging Face API using different language models to address tasks such as sentence
classification  sentiment analysis  summarization  and text generation. After completing
Introduction to Transformers for NLP  you will understand Transformer concepts and be able to
solve problems using the Hugging Face library. What You Will Learn Understand language models
and their importance in NLP and NLU (Natural Language Understanding) Master Transformer
architecture through practical examples Use the Hugging Face library in Transformer-based
language models Create a simple code generator in Python based on Transformer architecture Who
This Book Is ForData Scientists and software developers interested in developing their skills
in NLP and NLU (Natural Language Understanding)

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