Instructions to use shreyash-pandey-katni/SQLForge-Mistral-7B-QLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shreyash-pandey-katni/SQLForge-Mistral-7B-QLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.3") model = PeftModel.from_pretrained(base_model, "shreyash-pandey-katni/SQLForge-Mistral-7B-QLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ba565064e1d7100989d2de435fcc79eaec49a4d43f500bac60cfb0e47946e4b
- Size of remote file:
- 14.2 kB
- SHA256:
- 4b4a3065ab98366858c10f21d1181db591a98973bf4567af5b37df6f100810e0
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