How to use Borsa356/bert_mnr_4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Borsa356/bert_mnr_4") sentences = [ "a group of people are holding a metal frame over a wooden floor.", "A dog looks at the camera.", "A Ford is being driven on a track.", "A group of people are holding a frame" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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