How to use tomaarsen/mpnet-base-allnli with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/mpnet-base-allnli") sentences = [ "A taxi SUV drives past an urban construction site, as a man walks down the street in the other direction.", "The woman is walking down the street with high heels.", "A man is reading documents in a binder.", "A man is chasing an SUV that is going in the same direction as him." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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