How to use spartan8806/atles with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("spartan8806/atles") sentences = [ "Red sports car racing down track.", "A red sports car driving quickly on a track.", "Mali's Interim President Sworn Into Office", "Iran, world powers pledge new nuclear talks" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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