Instructions to use ASSERT-KTH/RepairLLaMA-IR1-OR4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ASSERT-KTH/RepairLLaMA-IR1-OR4 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-OR4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ef1d900b0086fb7e51daf75b16d3018cfb7e5e13218635f1e1b31730faaf61f
- Size of remote file:
- 4.22 kB
- SHA256:
- 14996c320a649dbed236c1e4101b14b3dcb2d54952bfbad1a1f79b2939c77455
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