Instructions to use Vinceorz/codellama_python_34b_v1_12_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vinceorz/codellama_python_34b_v1_12_01 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_python_34b_v1_12_01") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Vinceorz/codellama_python_34b_v1_12_01: direct link, hf CLI and curl.
- Browser
- Download file 39.4 MB
-
https://huggingface.co/Vinceorz/codellama_python_34b_v1_12_01/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Vinceorz/codellama_python_34b_v1_12_01/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Vinceorz/codellama_python_34b_v1_12_01/resolve/main/adapter_model.bin
39.4 MB
- Xet hash:
- 206581d1973a863de6173c68e03a88ec5b6d5eecc6963a31e49dbf118669cd0e
- Size of remote file:
- 39.4 MB
- SHA256:
- e53e604dcadb5eb376ca3e7f828dcd73616355c727cd6d03a15ace90abfad6e6
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