ML NLP Transformers

Transformers changed everything. This skill focuses on the Hugging Face ecosystem.

The Pipeline

1. Tokenization: Converting text to numbers.
2. Model Loading: Using AutoModelForSequenceClassification or similar.
3. Training / Fine-Tuning: Using the Trainer API for simplicity.

Core Tasks

• Sentiment Analysis: Understanding emotion.
• Named Entity Recognition (NER): Extracting entities (People, Places).
• Summarization: Condensing text.
• Embeddings: Creating vector representations for semantic search.

Best Practices

• Parameter-Efficient Fine-Tuning (PEFT): Using LoRA to adapt large models with minimal resources.
• Quantization: Compressing models for faster inference.