Natural Language Processing with Transformers (Paperback)
Booker Blunt
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. Teach machines to understand and generate human language-with powerful transformer models.Natural Language Processing with Transformers is your hands-on guide to building modern NLP applications using Python. Whether you're working on chatbots, sentiment analysis, translation, or text summarization, this book shows you how to use cutting-edge transformer models like BERT, GPT, and T5 to bring your ideas to life.You'll go beyond traditional NLP techniques and learn how to work with pre-trained models, fine-tune them for custom tasks, and integrate them into real-world Python applications.Inside, you'll learn how to: Understand the architecture behind transformers and attention mechanismsUse the Hugging Face Transformers library to access pre-trained modelsTokenize and process text for model input and outputBuild a chatbot using a conversational transformerFine-tune models for classification, summarization, and Q&A tasksApply sentiment analysis and named entity recognition (NER)Handle multilingual tasks like translation and language detectionDeploy models using simple Python scripts or APIsEach chapter includes code samples, clear explanations, and practical projects you can use and adapt.Whether you're a data scientist, developer, or tech enthusiast, Natural Language Processing with Transformers gives you the tools to start building intelligent language apps today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798291709801
Teach machines to understand and generate human language—with powerful transformer models.
Natural Language Processing with Transformers is your hands-on guide to building modern NLP applications using Python. Whether you're working on chatbots, sentiment analysis, translation, or text summarization, this book shows you how to use cutting-edge transformer models like BERT, GPT, and T5 to bring your ideas to life.
You’ll go beyond traditional NLP techniques and learn how to work with pre-trained models, fine-tune them for custom tasks, and integrate them into real-world Python applications.
Inside, you’ll learn how to:
Understand the architecture behind transformers and attention mechanisms
Use the Hugging Face Transformers library to access pre-trained models
Tokenize and process text for model input and output
Build a chatbot using a conversational transformer
Fine-tune models for classification, summarization, and Q&A tasks
Apply sentiment analysis and named entity recognition (NER)
Handle multilingual tasks like translation and language detection
Deploy models using simple Python scripts or APIs
Each chapter includes code samples, clear explanations, and practical projects you can use and adapt.
Whether you're a data scientist, developer, or tech enthusiast, Natural Language Processing with Transformers gives you the tools to start building intelligent language apps today.
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