Instructions to use octadion/mistral-7B-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use octadion/mistral-7B-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "octadion/mistral-7B-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8a22e094f47efa0a11e0e54cfa308121c8ec4bc8b2469e44a2caebfd48d5d94
- Size of remote file:
- 4.92 kB
- SHA256:
- 6f46899c506d0983a4a834b5645b6e8ef93e194e448445dd875970e0249a0a3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.