Natural Language Processing with Transformers : Build Chatbots and Language Models with Python
Overview
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:
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Understand the architecture behind transformers and attention mechanisms
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Use the Hugging Face Transformers library to access pre-trained models
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Tokenize and process text for model input and output
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Build a chatbot using a conversational transformer
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Fine-tune models for classification, summarization, and Q&A tasks
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Apply sentiment analysis and named entity recognition (NER)
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Handle multilingual tasks like translation and language detection
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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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Details
- ISBN-13: 9798291709801
- ISBN-10: 9798291709801
- Publisher: Independently Published
- Publish Date: July 2025
- Dimensions: 9 x 6 x 0.57 inches
- Shipping Weight: 0.8 pounds
- Page Count: 270
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