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:
- e3ba5e90141b994459b9dbd44d2519d1ae6536ebec73213dfbc86fa25fe7c0cf
- Size of remote file:
- 1.47 kB
- SHA256:
- fc16e6931b962d24c31b5d22a1397b75f53f86c81fbc0bebe686358769503192
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.