How to use swardiantara/bert-tiny-snli-k1-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-snli-k1-fixed-euclidean") sentences = [ "Group of young women in dresses strolling on the sidewalk. [SEP] all the women are well dressed", "A woman in a top hat is trying to get into a maroon car at night. [SEP] The woman and the car are outdoors.", "A young shirtless boy in kakhi pants is kneeling in a marsh while someone splashes nearby. [SEP] Two people are riding on a ferris wheel at the fair.", "A woman standing in front of a white car that is piled with things on top. [SEP] The woman is preparing to move." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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