How to use swardiantara/bert-tiny-sst5-k3-fixed-cosine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-sst5-k3-fixed-cosine") sentences = [ "there 's a neat twist , subtly rendered , that could have wrapped things up at 80 minutes , but kang tacks on three or four more endings .", "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 .", "meyjes focuses too much on max when he should be filling the screen with this tortured , dull artist and monster-in-the - making .", "this masterfully calibrated psychological thriller thrives on its taut performances and creepy atmosphere even if the screenplay falls somewhat short ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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