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:
- d97d710fa36f2ada8cadaf975aa6db6a57845d428b6fc292f4a0e6d4315b0637
- Size of remote file:
- 269 MB
- SHA256:
- f44c266a07572878ac04e15c296610dd6333abcb06ad892756ce49135a950281
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.