| 書目名稱 | Introduction to Transformers for NLP | | 副標(biāo)題 | With the Hugging Fac | | 編輯 | Shashank Mohan Jain | | 視頻video | http://file.papertrans.cn/475/474291/474291.mp4 | | 概述 | Explains how to create Hugging Face applications for NLP tasks like sentiment analysis and sentence masking.Covers code generator examples using Transformers.Explains the language models such as Googl | | 圖書封面 |  | | 描述 | .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 thr | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Artificial Intelligence; Natural Language Processing; Machine Learning; Deep learning; Python; Natural La | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-8844-3 | | isbn_softcover | 978-1-4842-8843-6 | | isbn_ebook | 978-1-4842-8844-3 | | copyright | Shashank Mohan Jain 2022 |
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