from transformers import AutoModelForCausalLM, AutoTokenizer

repo_id = "bhavika67/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)

Bhavika67/text2sql

Phi-3 Text-to-SQL Model

Example

Bhavika67/
text2sql