jcorpac ML NLP Transformers
Transformers changed everything. This skill focuses on the Hugging Face ecosystem.
The Pipeline
- Tokenization: Converting text to numbers.
- Model Loading: Using
AutoModelForSequenceClassificationor similar. - Training / Fine-Tuning: Using the
TrainerAPI 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.