sentence-transformers How to use CDXV/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("CDXV/result_model")
sentences = [
"Children smiling and waving at camera",
"The kids are frowning",
"The people are eating omelettes.",
"Near a couple of restaurants, two people walk across the street."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
