sentence-transformers How to use Vdam04/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Vdam04/result_model")
sentences = [
"A woman is walking across the street eating a banana, while a man is following with his briefcase.",
"A woman eats ice cream walking down the sidewalk, and there is another woman in front of her with a purse.",
"A team is playing baseball on Saturn.",
"They are smiling at their parents"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
