How to use AKL126/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AKL126/result_model") sentences = [ "Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.", "Two people ride bicycles into a tunnel.", "The friends scowl at each other over a full dinner table.", "A team is trying to score the games winning out." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
