sentence-transformers How to use 1HeroX1/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("1HeroX1/result_model")
sentences = [
"A woman wearing all white and eating, walks next to a man holding a briefcase.",
"A married couple is walking next to each other.",
"The women do not care what clothes they wear.",
"The diners are at a restaurant."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
