Instructions to use Utkarsh524/codellama_cpputest2_lora2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_cpputest2_lora2 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_lora2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Utkarsh524/codellama_cpputest2_lora2: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/Utkarsh524/codellama_cpputest2_lora2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Utkarsh524/codellama_cpputest2_lora2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Utkarsh524/codellama_cpputest2_lora2/resolve/main/adapter_model.safetensors
16.8 MB
- Xet hash:
- 3916f1d59fa4b5943b7726f1c478faf5e7a06117c3372aac743f46987957587a
- Size of remote file:
- 16.8 MB
- SHA256:
- 2b5798d98bc2ada2770906744387bad0dfbfa82f9c7a7d4a9fdfd247ec75a0ce
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