Instructions to use Tanneru/CodeLlama-7b-Python-hf-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tanneru/CodeLlama-7b-Python-hf-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "Tanneru/CodeLlama-7b-Python-hf-ft") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Tanneru/CodeLlama-7b-Python-hf-ft: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/Tanneru/CodeLlama-7b-Python-hf-ft/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Tanneru/CodeLlama-7b-Python-hf-ft/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Tanneru/CodeLlama-7b-Python-hf-ft/resolve/main/adapter_model.safetensors
320 MB
- Xet hash:
- 6ee50588ae71ddc63a6efea3c17a29d7b1531366fe31ecc13f1255215677efa9
- Size of remote file:
- 320 MB
- SHA256:
- 8eb7936006d897412d038414d848f2df85fe680000bac42a18a964e6d917bcd8
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