{"product_id":"introduction-to-transformers-for-nlp-with-the-hugging-face-library-and-models-to-solve-problems-paperback","title":"Introduction to Transformers for Nlp: With the Hugging Face Library and Models to Solve Problems - Paperback","description":"\u003cp\u003eby \u003cb\u003eShashank Mohan Jain\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGet 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eAfter completing \u003ci\u003eIntroduction to Transformers for NLP\u003c\/i\u003e, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.\u003c\/p\u003e\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)\u003c\/li\u003e\n\u003cli\u003eMaster Transformer architecture through practical examples\u003c\/li\u003e\n\u003cli\u003eUse the Hugging Face library in Transformer-based language models\u003c\/li\u003e\n\u003cli\u003eCreate a simple code generator in Python based on Transformer architecture\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003eData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eGet 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eAfter completing \u003ci\u003eIntroduction to Transformers for NLP\u003c\/i\u003e, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.\u003c\/p\u003e\u003cbr\u003eYou will: \u003cul\u003e\n\u003cli\u003eUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)\u003c\/li\u003e\n\u003cli\u003eMaster Transformer architecture through practical examples\u003c\/li\u003e\n\u003cli\u003eUse the Hugging Face library in Transformer-based language models\u003c\/li\u003e\n\u003cli\u003eCreate a simple code generator in Python based on Transformer architecture\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eShashank Mohan Jain has been working in the IT industry for around 20 years mainly in the areas of cloud computing, machine learning and distributed systems. He has keen interests in virtualization techniques, security, and complex systems. Shashank has software patents to his name in the area of cloud computing, IoT, and machine learning. He is a speaker at multiple reputed cloud conferences. Shashank holds Sun, Microsoft, and Linux kernel certifications.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 165\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 21, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47406929772722,"sku":"9781484288436","price":35.62,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/a268d5901ad0edf4aee822cf2b07cac4.webp?v=1778208948","url":"https:\/\/box.dadyminds.org\/products\/introduction-to-transformers-for-nlp-with-the-hugging-face-library-and-models-to-solve-problems-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}