Instructions to use Vasanth/mistral-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vasanth/mistral-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "Vasanth/mistral-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f896578b5167b611af0cb4ae47880679b172c6176cca24666fe176437a19647
- Size of remote file:
- 4.92 kB
- SHA256:
- f1095f019cc66a96b98eefa8d1bd35056b27cf6c8cd841ab59208d33154409ec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.