How to use ejun26/minilm-mrpc-clean-retrieval with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ejun26/minilm-mrpc-clean-retrieval") sentences = [ "The transaction will expand Callebaut 's sales revenues from its consumer products business to 45 percent from 23 percent .", "The transaction will expand Callebaut 's sales revenues from its consumer products business by around 45 percent to some one-third of total sales .", "Yeager said the incident appeared to be isolated , but the suspect showed tendencies of being a prior offender .", "\" We must not engage in borough warfare , \" the Comptroller William Thompson told the Council , according to his written testimony ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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