Introduction to Transformers for NLP

Name: Introduction to Transformers for NLP
Brand: Springer, Berlin
SKU: 9781484288436
Price: 105.29 PLN
Availability: InStock

With the Hugging Face Library and Models to Solve Problems

Autor: Shashank Mohan Jain

Język:

Oprawa: Miękka

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 14-21 dni

105.29 zł

Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book ex...

Informacje o książce

Autor

Shashank Mohan Jain

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

165

EAN

9781484288436

Enbook ID

41424739

Wydawca

Springer, Berlin

Waga

283

Wymiary

155 x 235 x 11

Pełny opis

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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Introduction to Transformers for NLP

With the Hugging Face Library and Models to Solve Problems

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