How to use vineet10/new_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vineet10/new_model") sentences = [ "The Employee agrees to diligently, honestly, and to the best of their abilities, perform all", "What are the Payment Terms for the Batteries?", "What are the general obligations of the Employee?", "according to the MOU?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
