sentence-transformers How to use Salahidine2002/result_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Salahidine2002/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.",
"They are working for John's Pizza.",
"Two people walk away from a restaurant across a street.",
"A couple are playing frisbee with a young child at the beach."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
