sentence-transformers How to use SamiKazrboubi/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("SamiKazrboubi/result_model")
sentences = [
"A man, woman, and child enjoying themselves on a beach.",
"A family of three is at the mall shopping.",
"An actress and her favorite assistant talk a walk in the city.",
"The woman is nake."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
