How to use nadshe/mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nadshe/mpnet-base-all-nli-triplet") sentences = [ "People on bicycles waiting at an intersection.", "More than one person on a bicycle is obeying traffic laws.", "The people are on skateboards.", "People waiting at a light on bikes." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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