Instructions to use Utkarsh524/codellama_utests_embedded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_utests_embedded 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_utests_embedded") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4bb053c2191490d98b22efb9188aa5eb47a233c19cc573063953fb2453a7dd7
- Size of remote file:
- 5.71 kB
- SHA256:
- b20bc1779533f5c43fde67a40090933b237561f9835a8961fb7436884670175c
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