Text Generation
PEFT
Safetensors
English
text-to-sql
sql
nlp
fine-tuning
qlora
lora
phi-3
conversational
Instructions to use Sid9797/querycraft-phi3-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sid9797/querycraft-phi3-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "Sid9797/querycraft-phi3-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63da9c522013174c19bb561f0a0dd931f3ac70f590e69c592d4b114df4f6462e
- Size of remote file:
- 71.4 MB
- SHA256:
- 7b19f8438555c1e17cd250348c60c3d45693a3d687dbfcb8bf3686f6921689de
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