How to use dat-ai/bge-base-for_text2sql with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dat-ai/bge-base-for_text2sql") sentences = [ "\n Given the Column informations, generate an SQL query for the following question:\n Column: Finishing position | Points awarded (Platinum) | Points awarded (Gold) | Points awarded (Silver) | Points awarded (Satellite)\n Question: How many platinum points were awarded when 6 gold points were awarded?\n SQL Query: SELECT MAX Points awarded (Platinum) FROM table WHERE Points awarded (Gold) = 6\n ", "How many platinum points were awarded when 6 gold points were awarded?", "Did any team score games that totaled up to 860.5?", "Who had the pole position at the German Grand Prix?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
