Instructions to use ASSERT-KTH/RepairLLaMA-IR1-OR1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ASSERT-KTH/RepairLLaMA-IR1-OR1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/proj/berzelius-2023-175/users/x_senfa/apr_ft/llms/CodeLlama-7B-fp16") model = PeftModel.from_pretrained(base_model, "ASSERT-KTH/RepairLLaMA-IR1-OR1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77c876e91e7967cb2ca2bad2326e9b966d5484c5e48c2bf9bffde03c3f49657b
- Size of remote file:
- 16.8 MB
- SHA256:
- 1f2747abb0a4a3f0ba491cc27e01fc2dd0869afcebe7a2a3a1c336eaa3bad2ec
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