sentence-transformers How to use mkiram/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mkiram/result_model")
sentences = [
"Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.",
"A woman ordering pizza.",
"The people are eating omelettes.",
"Some people board a train."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
