How to use Borsa356/bert_mnr_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Borsa356/bert_mnr_2") sentences = [ "a man wearing blue plays soccer.", "man playing soccer", "the person is hanging pictures.", "The swimmer is getting out of the water." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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