How to use Ismailea04/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Ismailea04/result_model") sentences = [ "A woman is walking across the street eating a banana, while a man is following with his briefcase.", "The bicyclists are dead.", "A man has facial hair.", "the woman is outside" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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