Instructions to use Utkarsh524/codellama_cpputest2_lora8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_cpputest2_lora8bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Utkarsh524/codellama_cpputest2_lora8bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48baafb01cd8710e9902c93f8855b2ec52d51f771f3db1c4e3d1019b01c46cc2
- Size of remote file:
- 134 MB
- SHA256:
- 7d4b207a0e423cdc07fc5945758a1b501a605cdb333b18354108a68096c82fcd
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