Instructions to use Bhuvandesai/phi3-text-to-sql-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bhuvandesai/phi3-text-to-sql-adapter 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, "Bhuvandesai/phi3-text-to-sql-adapter") - Notebooks
- Google Colab
- Kaggle
Phi-3 Text-to-SQL Adapter
A QLoRA fine-tuned LoRA adapter for microsoft/Phi-3-mini-4k-instruct, trained to convert natural language questions into SQL queries against a company sales database.
Training
- Base model: microsoft/Phi-3-mini-4k-instruct
- Method: QLoRA (4-bit quantization + LoRA, rank=8, alpha=16)
- Target modules: q/k/v/o/gate/up/down projections
- Dataset: Custom text-to-SQL pairs over a sales schema (employees, departments, products, sales)
Usage
Load with PEFT:
```python from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(model, "Bhuvandesai/phi3-text-to-sql-adapter") ```
Demo: phi3-text-to-sql-studio
- Downloads last month
- 39
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for Bhuvandesai/phi3-text-to-sql-adapter
Base model
microsoft/Phi-3-mini-4k-instruct