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:
- 0696af0c021320bc8c918b0fd8f922ff113a39a8f51e93a0dc08fd27f2a35a3b
- Size of remote file:
- 1.47 kB
- SHA256:
- 8bf536ff4c905fb2deb0eb9bca68c2f3bc901d1d88cc33280bc94352ed928c71
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