Instructions to use ASSERT-KTH/RepairLLaMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ASSERT-KTH/RepairLLaMA 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8157dcc204fcb81e07193efbc9dad6b8d919f9f35851ab9481d2a8d5a177bb22
- Size of remote file:
- 16.8 MB
- SHA256:
- a487757e18bfa67efe3b096302065758fb0186651828c6dd5c738dcd2afc862b
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