How to use Vdam04/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Vdam04/result_model") sentences = [ "A woman is walking across the street eating a banana, while a man is following with his briefcase.", "A woman eats ice cream walking down the sidewalk, and there is another woman in front of her with a purse.", "A team is playing baseball on Saturn.", "They are smiling at their parents" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
