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:
- 934d9322c49e0648ea416b1dcbb7861a17ffd016dfce1f86c6e2d3362762bc31
- Size of remote file:
- 5.71 kB
- SHA256:
- dad92fe78616fd14198a4eda0abe663d6a5ea6dddeb55868e8a77426a69d3d1e
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