How to use aitouiazzaneali49/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aitouiazzaneali49/result_model") sentences = [ "An older man is drinking orange juice at a restaurant.", "Two women are at a restaurant drinking wine.", "The woman is nake.", "A child with mom and dad, on summer vacation at the beach." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
