sentence-transformers How to use HarishMaths/Hotel-Policy-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("HarishMaths/Hotel-Policy-Embedding")
sentences = [
"(g) If a Member wishes to extend their stay and has enough Nightly Upgrade Award(s) to cover the extension, the Member must book a separate reservation for the additional nights and request to use Nightly Upgrade Awards on Marriott Websites or by calling Member Support; the Nightly Upgrade Award request cannot be processed at the Participating Property.",
"Flexible rates cancel up to a deadline the property sets.",
"DONT book a non-refundable hotel without reading the cancellation policy because you must understand the exact penalty structurewhether you forfeit one night, the full amount, or a percentageto determine your coverage needs and ensure your insurance limit is adequate.",
"As for semi-flexible plans, they might require notice at least five days before check-in."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
