How to use ousaxkos/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ousaxkos/result_model") sentences = [ "A woman wearing all white and eating, walks next to a man holding a briefcase.", "A married couple is sleeping.", "The people are eating omelettes.", "Two adults walk across a street." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
