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:
- 168da8c13643f3abf283d54d250cbbfa91388a6f33b8622af9147e019c07279d
- Size of remote file:
- 671 MB
- SHA256:
- fd39c0a6853e097d3c1250c2e9a0dc5f7f75ee741c952b27bfcc25aa6296fa0e
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