How to use zakaria013/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zakaria013/result_model") sentences = [ "Two blond women are hugging one another.", "Some women are hugging on vacation.", "The women are sleeping.", "A blond man wearing a brown shirt is reading a book on a bench in the park" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
