Instructions to use Vinceorz/codellama_py_34b_12_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vinceorz/codellama_py_34b_12_13 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-Python-hf") model = PeftModel.from_pretrained(base_model, "Vinceorz/codellama_py_34b_12_13") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Vinceorz/codellama_py_34b_12_13: direct link, hf CLI and curl.
- Browser
- Download file 78.8 MB
-
https://huggingface.co/Vinceorz/codellama_py_34b_12_13/resolve/main/optimizer.pt
- Command line
-
hf download hf://Vinceorz/codellama_py_34b_12_13/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Vinceorz/codellama_py_34b_12_13/resolve/main/optimizer.pt
78.8 MB
- Xet hash:
- ae8cf752585bb642dc72a98801ed0b506e71c8bad32771e8506b56b2dbd05a53
- Size of remote file:
- 78.8 MB
- SHA256:
- 689c2550c515579051aeae26f3366fab4cd88a3b705fbb9e3747973774802475
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