Instructions to use afrias5/meta-codellama-7b-python-Score-78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/meta-codellama-7b-python-Score-78 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "afrias5/meta-codellama-7b-python-Score-78") - Notebooks
- Google Colab
- Kaggle
Download latest from afrias5/meta-codellama-7b-python-Score-78: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/afrias5/meta-codellama-7b-python-Score-78/resolve/main/latest
- Command line
-
hf download hf://afrias5/meta-codellama-7b-python-Score-78/latest
-
curl -L -o latest https://huggingface.co/afrias5/meta-codellama-7b-python-Score-78/resolve/main/latest
13 Bytes
| global_step78 |