How to use abderrahmanech/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abderrahmanech/result_model") sentences = [ "A woman wearing all white and eating, walks next to a man holding a briefcase.", "A female is next to a man.", "The diners are at a restaurant.", "A woman ordering pizza." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
