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:
- f71ecbfe11f2bcc7262ecee97c4b8a5aaa3a230365ccbb668d64e5c3f4222a13
- Size of remote file:
- 5.78 kB
- SHA256:
- 9570cf650b18df9d997decb10739f1c18f017aa67017fa15e2a57611149f8971
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