How to use haf1g/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("haf1g/result_model") sentences = [ "A man, woman, and child enjoying themselves on a beach.", "A family of three is at the beach.", "There are two woman in this picture.", "There are children present" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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