How to use mrunali496/mpnet-base-all-nli-pair with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mrunali496/mpnet-base-all-nli-pair") sentences = [ "A person dressed in red and black outside a cracked wall.", "A person in red and black near a wall.", "Two women are in a car with a man.", "a baby cries while getting their diaper changed" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
