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:
- 1d6807c7751d1c7a90787a371d6c1f4bde5c4385b4d9f8fefd28c7a0699805fc
- Size of remote file:
- 168 MB
- SHA256:
- bdef27058097f1fda6f3d86d8cef00985bca4e96a114955513025f88074992ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.