How to use vineet10/new_model_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vineet10/new_model_2") sentences = [ "Answer: Users can contact Customer Care before confirmation to request a refund for offline", "single order?", "a booking?", "MOU?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
