How to use Salahidine2002/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Salahidine2002/result_model") sentences = [ "Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.", "They are working for John's Pizza.", "Two people walk away from a restaurant across a street.", "A couple are playing frisbee with a young child at the beach." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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