Using Hugging Face Transformers

Transformers is the model-definition framework for state-of-the-art machine learning across text, vision, audio, and multimodal domains. It provides unified APIs for loading pretrained models, running inference, and fine-tuning.

Table of Contents

• Core Concepts
• Pipeline API
• Model Loading
• Inference Patterns
• Fine-tuning with Trainer
• Working with Modalities
• Memory and Performance
• Best Practices
• References

Core Concepts

The Three Core Classes