Hugging Face Transformers Best Practices

Comprehensive guide to using the Hugging Face Transformers library including model loading, tokenization, fine-tuning workflows, pipeline usage, custom datasets, and deployment optimization.

Quick Reference

When to use this skill:

• Loading and using pre-trained transformers (BERT, GPT, T5, LLaMA, etc.)
• Fine-tuning models on custom data
• Implementing NLP tasks (classification, QA, generation, etc.)
• Optimizing inference (quantization, ONNX, etc.)
• Debugging tokenization issues
• Using Hugging Face pipelines
• Deploying transformers to production