How to use swardiantara/bert-tiny-sst5-k1-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-sst5-k1-fixed-euclidean") sentences = [ "a stirring , funny and finally transporting re-imagining of beauty and the beast and 1930s horror films", "-lrb- janey -rrb- forgets about her other obligations , leading to a tragedy which is somehow guessable from the first few minutes , maybe because it echoes the by now intolerable morbidity of so many recent movies .", "meyjes focuses too much on max when he should be filling the screen with this tortured , dull artist and monster-in-the - making .", "a semi-autobiographical film that 's so sloppily written and cast that you can not believe anyone more central to the creation of bugsy than the caterer had anything to do with it ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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