Hugging Face Transformers for NLP Engineers: From Zero to Production
Master the Hugging Face `transformers` library and Transformer architecture to build, fine-tune, and deploy state-of-the-art NLP systems.
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Foundations of Transformers and Hugging Face Ecosystem
Unit 1: Introduction to Transformers
NLP Before Transformers
The Attention Mechanism
Transformer Architecture
Why Transformers Matter
Unit 2: Hugging Face Ecosystem Fundamentals
Meet Hugging Face
Models & Tokenizers
The Pipeline API
Common NLP Tasks
Advanced Fine-tuning and Deployment with Hugging Face
Unit 1: Fine-tuning with the Trainer API
Why Fine-tune?
Data Prep for Fine-tuning
The Trainer API in Action
Customizing the Trainer
Unit 2: Model Evaluation and Deployment
Evaluating Fine-tuned Models
Saving & Loading Models
Deployment Challenges
Efficient Inference