Introduction to Transformers for Nlp Wi Shashank Mohan Jain Paperback

Description: Title: Introduction to Transformers for Nlp: With the Hugging Face Library and Models to Solve Problems Author: Jain, Shashank Mohan Publisher: Apress Binding: Paperback Pages: 165 Dimensions: 9.21h x 6.14w x 0.38d Product Weight: 0.57 lbs. Language: English ISBN: 9781484288436 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 LearnUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)Master Transformer architecture through practical examplesUse the Hugging Face library in Transformer-based language modelsCreate a simple code generator in Python based on Transformer architectureWho This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding) Ships Fast From The USA! Authorized Dealer

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End Time: 2024-12-14T23:47:14.000Z

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