How to use krishanusinha20/multi-agentic-sql-generator-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("krishanusinha20/multi-agentic-sql-generator-model") sentences = [ "Find the most popular payment method used in 2024.", "SELECT * FROM orders WHERE customer_id = 42;", "SELECT customer_id, COUNT(order_id) AS order_count FROM orders WHERE order_date BETWEEN '2024-01-01' AND '2024-12-31' GROUP BY customer_id HAVING order_count >= 3;", "SELECT payment_method, COUNT(*) AS usage_count FROM payments WHERE payment_date BETWEEN '2024-01-01' AND '2024-12-31' GROUP BY payment_method ORDER BY usage_count DESC LIMIT 1;" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
