Overview

Elevate your Natural Language Processing (NLP) skills with Practical NLP Projects with Hugging Face: Building Real-World Applications with Hands-On Text Classification, Translation, and Multimodal Projects. Tailored for intermediate learners with a foundational understanding of NLP, this book empowers you to create production-ready applications using Hugging Face's powerful tools. Through step-by-step tutorials, you'll build a diverse portfolio of projects, including text classification (e.g., classifying movie reviews with BERT), sentiment analysis, question-answering systems, machine translation (e.g., English to French with T5), text generation (e.g., creative writing with GPT-2), document summarization (e.g., with BART), and multimodal NLP (e.g., image captioning with CLIP). Explore integrations with computer vision and speech recognition (e.g., transcribing audio with Whisper). Learn to deploy models to production, monitor performance, and maintain them over time. With practical code examples, real-world case studies, and industry-relevant techniques, this book equips you to showcase your expertise through a portfolio of impactful NLP projects ready for real-world deployment. Who This Book Is For: Intermediate learners with basic NLP knowledge eager to build practical, hands-on projects. Developers and data scientists interested in creating production-ready NLP applications. AI enthusiasts and engineers aiming to demonstrate their skills with tangible, portfolio-worthy projects. What You'll Learn: Build and deploy real-world NLP applications, including text classification, named entity recognition, sentiment analysis, question answering, machine translation, text generation, summarization, and multimodal NLP. Integrate NLP with domains like computer vision (e.g., image captioning) and speech recognition (e.g., audio transcription). Master deployment techniques, including hosting models on the Hugging Face Hub and integrating with cloud platforms. Develop monitoring and maintenance strategies to ensure model performance in production. Create a professional portfolio of NLP projects to showcase your expertise to employers and the AI community.

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