sentence-transformers How to use vineet10/fm2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("vineet10/fm2")
sentences = [
"The Supplier shall deliver the Batteries to the Manufacturer within 5 days of receipt of each monthly purchase order.",
"What rights does the Manufacturer have regarding the inspection and rejection non-conforming Batteries?",
"What is the Delivery Schedule for the Batteries?",
"What constitutes a force majeure event under the Agreement?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
