Instructions to use asaha-cdcp/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use asaha-cdcp/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "asaha-cdcp/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1d90c4cc485b35bb1d5de8172fe87ee0493c3d6e7a46739640f24c15428bb08
- Size of remote file:
- 4.79 kB
- SHA256:
- 2bd037dce2740b231dc92beca9dad792eebaca618173197b67b011d6d66bde27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.