How to use Pascalymb/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Pascalymb/result_model") sentences = [ "A man and woman are walking in a restaurant that has signs in Chinese.", "A newlywed couple is walking through a Chinese restaurant.", "The woman is sitting on the ground.", "they are playing basketball" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
