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:
- edfff928847bb8086c2a3b402aadf99f3549378fc02f084e9da94db1067e40b4
- Size of remote file:
- 14.6 kB
- SHA256:
- ecc4f1fc40e7e1beec07abb8bfb55592407fcb9491066e17fce4033e5233edb0
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