sentence-transformers How to use vineet10/fm1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("vineet10/fm1")
sentences = [
"Users are entitled to a refund for excess payments after necessary deductions, provided that payments were not processed to a wrong account due to user error.",
"What is the timeline for the delivery of the documentary film as outlined in this contract?",
"Under what circumstances can a user receive a refund for multiple payments made for a single order?",
"What are the Payment Terms for the Batteries?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
