Instructions to use luna-code/sqlmodel-codegen-2B-mono-prefix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luna-code/sqlmodel-codegen-2B-mono-prefix with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-2B-mono") model = PeftModel.from_pretrained(base_model, "luna-code/sqlmodel-codegen-2B-mono-prefix") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from luna-code/sqlmodel-codegen-2B-mono-prefix: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/luna-code/sqlmodel-codegen-2B-mono-prefix/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://luna-code/sqlmodel-codegen-2B-mono-prefix/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/luna-code/sqlmodel-codegen-2B-mono-prefix/resolve/main/adapter_model.safetensors
3.28 MB
- Xet hash:
- 41607a9acf83ed3e8beb5d88bbec0f0512d5c5183180a2a5391ffc5e23e27d59
- Size of remote file:
- 3.28 MB
- SHA256:
- 4f84c0328585f69af0270a8f8fdd0739e88c874e131140b470b29b3ce9c54d57
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.