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:
- f06c1a92f8874ebd4c02632f2ebd3bf90c450c8fbd53174ededce8a2e2797560
- Size of remote file:
- 5.3 kB
- SHA256:
- f71140ff3c1c76baae126c9acd4994739427e366d6bfe6a32ec3084e348ee5ad
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