sentence-transformers 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] 
