Overview

Launch your Natural Language Processing (NLP) journey with NLP Foundations with Hugging Face: Mastering Transformers, Tokenization, Datasets, and Core NLP Concepts for Beginners. Designed for beginners and intermediate learners, this book builds a solid foundation in NLP using Hugging Face's industry-leading tools. Explore the evolution of NLP from rule-based systems to modern transformer models like BERT, GPT, and T5. Gain hands-on experience with the Hugging Face ecosystem, including the Transformers library, Datasets, Tokenizers, and the Hugging Face Hub. Master critical skills such as tokenization, fine-tuning pre-trained models, evaluating model performance, and deploying your first NLP application. With clear explanations, practical code examples, real-world case studies, and step-by-step tutorials, this book empowers you to create effective NLP solutions and prepares you for advanced study. By the end, you'll confidently navigate NLP tasks like text classification, named entity recognition, and sentiment analysis, positioning you to excel in the fast-evolving AI landscape. Who This Book Is For: Beginners new to NLP and Hugging Face seeking to understand core concepts and tools. Intermediate learners aiming to deepen their knowledge of transformer models and NLP workflows. Students, data science enthusiasts, and aspiring AI developers eager to master NLP fundamentals with Hugging Face. What You'll Learn: The history and evolution of NLP, from rule-based systems to deep learning with transformer models. Comprehensive mastery of the Hugging Face ecosystem: Transformers library, Datasets, Tokenizers, and the Hugging Face Hub. Practical skills in tokenization, fine-tuning pre-trained models, and evaluating performance for tasks like text classification, named entity recognition, and sentiment analysis. How to build, deploy, and share your first NLP application using Hugging Face tools. Insights into real-world NLP applications and emerging trends to stay ahead in the field.

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