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]
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