Hugging Face in Action

Hugging Face in Action

Master the world’s most popular ecosystem for Natural Language Processing. Hugging Face in Action is the definitive, practical guide to building and deploying state-of-the-art machine learning models. Learn how to leverage the Transformers library, utilize pre-trained models for complex tasks, and streamline your entire AI development workflow from research to production.

Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.

What You Will Learn:

The Hugging Face Ecosystem: Navigate the Hub, Transformers, Datasets, and Tokenizers libraries to accelerate your AI development.

Fine-Tuning Pre-Trained Models: Step-by-step techniques to adapt massive large language models (LLMs) to your specific business data and niche tasks.

Task-Specific Implementation: Master practical applications including sentiment analysis, text summarization, named entity recognition (NER), and question answering.

Model Deployment: Learn best practices for optimizing, sharing, and deploying your custom models to production environments efficiently.

Who This Book is For: This hands-on guide is essential for data scientists, machine learning engineers, and Python developers. It is a vital resource for anyone looking to integrate professional-grade NLP capabilities into their applications without building complex architectures from scratch.

Product Details:

Format: Digital PDF Download

Author: Wei-Meng Lee

Publisher: Manning

Publication Date: November 25, 2025

ISBN-13: 9781633436718

ISBN-10: 1633436713