How to use Haitam03/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Haitam03/result_model") sentences = [ "Two blond women are hugging one another.", "There are women showing affection.", "The women are sleeping.", "There are people waiting on a train." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
