Priyanshu05/text-to-sql-t5

🔍 Text-to-SQL with T5 (t5-base)

This model is a fine-tuned version of t5-base on a custom Text-to-SQL dataset. It translates natural language questions into corresponding SQL queries.

📌 Model Details

• Base model: t5-base
• Task: Natural Language to SQL (text-to-SQL)
• Dataset: Small custom dataset (~10–15 examples) of questions and SQL queries
• Language: English
• Fine-tuned by: Priyanshu05

🧠 Example

from transformers import T5Tokenizer, T5ForConditionalGeneration

model = T5ForConditionalGeneration.from_pretrained("Priyanshu05/text-to-sql-t5")
tokenizer = T5Tokenizer.from_pretrained("Priyanshu05/text-to-sql-t5")

question = "translate natural language to SQL: show all customers"
inputs = tokenizer(question, return_tensors="pt")
output = model.generate(**inputs)
print(tokenizer.decode(output[0], skip_special_tokens=True))

License

This project is licensed under the Apache-2.0 License.