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:
- 3c8144bf3166e7344f18a3c39ff3a490b55185164cdd0b605c8a6eaec965ff37
- Size of remote file:
- 16.8 MB
- SHA256:
- 54a40ea5390b7e70b58f71020391dd1fb3913f5ed08f95da6ddf408a69e1c074
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