Natural Language Processing Transformers by Blunt Booker (7 results)

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  • Language: English

    Published by Independently published, 2025

    9798291709801

    • Softcover

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  • Language: English

    Published by Independently published, 2025

    9798291709801

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  • Language: English

    Published by Independently published, 2025

    9798291709801

    • Softcover

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  • Language: English

    Published by Independently published, 2025

    9798291709801

    • Softcover

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  • Language: English

    Published by Independently Published, 2025

    9798291709801

    • Softcover
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    Paperback. Condition: new. Paperback. 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.…

  • Language: English

    Published by Amazon Digital Services LLC - Kdp, 2025

    9798291709801

    • Softcover
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    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Independently Published, 2025

    9798291709801

    • Softcover
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    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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    Paperback. Condition: new. Paperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…