How to use CDXV/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CDXV/result_model") sentences = [ "Children smiling and waving at camera", "The kids are frowning", "The people are eating omelettes.", "Near a couple of restaurants, two people walk across the street." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
