Description
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
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