How to use hongming/distilbert-base-uncased-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hongming/distilbert-base-uncased-sts") sentences = [ "A plane in the sky.", "Two airplanes in the sky.", "A man plays an acoustic guitar.", "The small dog protects its owner." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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