Instructions to use ASSERT-KTH/RepairLLaMA-IR1-OR3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ASSERT-KTH/RepairLLaMA-IR1-OR3 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-OR3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c457b85218f8a8a8869f5ba2856f3638f6fe6135d5c754816477f41aa26a6f2
- Size of remote file:
- 16.8 MB
- SHA256:
- 9ca9683cc75121b547c492c6c438681549c320144ffd30e2797df517fd07d382
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