sentence-transformers How to use aelmah/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("aelmah/result_model")
sentences = [
"A woman is walking across the street eating a banana, while a man is following with his briefcase.",
"two coworkers cross pathes on a street",
"The kids are frowning",
"A person is outdoors, on a horse."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
