Fine-tuning is a powerful technique to adapt pre-trained models to specific tasks. Here's a quick guide:
What is Fine-tuning?
🧠 Fine-tuning involves retraining a model on a smaller, task-specific dataset to improve performance. It's commonly used in NLP for tasks like text classification, named entity recognition, etc.Steps to Fine-tune
- Prepare your dataset
- Load a pre-trained model
- Configure training parameters
- Train the model
- Evaluate and deploy
Resources
- Hugging Face Model Hub for pre-trained models
- Training Scripts for code examples
- Documentation for detailed guides
For visualizing model architectures, check out:
Model Visualization Tools
Explore more about Hugging Face's ecosystem here:
HF Overview