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
Download adapter_model.safetensors from Utkarsh524/codellama_cpputest2_lora8bit: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/Utkarsh524/codellama_cpputest2_lora8bit/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Utkarsh524/codellama_cpputest2_lora8bit/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Utkarsh524/codellama_cpputest2_lora8bit/resolve/main/adapter_model.safetensors
134 MB
- Xet hash:
- 834ea62fba141dbc3ea80e297e09e10b8efbba23235e6d3e6b8b9094fa9a77eb
- Size of remote file:
- 134 MB
- SHA256:
- 0852e8738d498045a84a7a08abfae0e7da4e226b28a8705381252a2f1b7cfbd8
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