Instructions to use eageringdev/d80f5ece-2ead-4ecf-9c97-01e3f6e0c4ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eageringdev/d80f5ece-2ead-4ecf-9c97-01e3f6e0c4ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "eageringdev/d80f5ece-2ead-4ecf-9c97-01e3f6e0c4ca") - Notebooks
- Google Colab
- Kaggle
Ctrl+K