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:
- 2da1fdfcb16a040ca3d01cdaf31a014549cbcd2f2d86a22c294a0665500e83cb
- Size of remote file:
- 269 MB
- SHA256:
- 119ab78e0550b15c6c2933b311e2b0171eebc6713381aa621b0165fd2560f983
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