sentence-transformers How to use Ouchbara/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Ouchbara/result_model")
sentences = [
"A man with blond-hair, and a brown shirt drinking out of a public water fountain.",
"A blond man wearing a brown shirt is reading a book on a bench in the park",
"The friends scowl at each other over a full dinner table.",
"Two adults walk across a street."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
