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:
- 6130b8c5c60f2cc4e2e3301c1c2619c414354a8f83440ce86ebfb895ae897e35
- Size of remote file:
- 336 MB
- SHA256:
- d46f8eda8a7c7254f639536d8d80185f6de9899480b98098ff1124dca4c47a4d
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