How to use VinitT/Embeddings-NLI-ContradictionMargin with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("VinitT/Embeddings-NLI-ContradictionMargin") sentences = [ "Guy wearing sunglasses and blue shirt on skateboard in front of a bright yellow building with palm trees.", "Two people are standing by the street.", "A man rides a skateboard outside.", "The boys are inside laying down." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
