How to use mehdi20002/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mehdi20002/result_model") sentences = [ "A couple play in the tide with their young son.", "The family is outside.", "A couple are playing frisbee with a young child at the beach.", "Two adults swimming in water" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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