How to use tomaarsen/bert-base-uncased-qqp-cross-domain with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/bert-base-uncased-qqp-cross-domain") sentences = [ "How do I put restraining order against myself?", "What are the best 24/7 coffee shops in San Francisco?", "Can I take out a restraining order against myself?", "Friendship: How to get rid of romantic feelings for a friend?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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