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---
language: en
tags:
- text2sql
- causal-lm
- transformers
- safetensors
license: mit
pipeline_tag: text-generation
---
# Phi-3 Text-to-SQL Model
This is a fine-tuned **Microsoft Phi-3** model specialized for **Text-to-SQL** generation.
## Example
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "bhavika24/text2sql"
tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForCausalLM.from_pretrained(repo_id, torch_dtype="auto", device_map="auto")
question = "List all customers who ordered products over $500 last month."
inputs = tokenizer(question, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=128)
sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(sql_query)
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