Instructions to use igzi/lora-openbookqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-openbookqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-openbookqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4ee6d41728f7f9603a8c7e3e2309b5179b2ad91029820ec105da967e2df857f
- Size of remote file:
- 20.7 MB
- SHA256:
- d9afa8900852bf7e0018a4e50fabe86f22d18d7bbf1528b92cb48801ed7acc8a
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