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:
- c54f8dcfee345ea9bee21b3fe5097ac82ab1a2061ddba378dfdfcbaa8630ed9f
- Size of remote file:
- 4.22 kB
- SHA256:
- cc194aad6b1eb42a71853370ac441e673c09578ed6cd75a8a00c80321488ee6b
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