How to use swardiantara/bert-tiny-sst5-full-fixed-cosine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-sst5-full-fixed-cosine") sentences = [ "a stirring , funny and finally transporting re-imagining of beauty and the beast and 1930s horror films", "like mike is a slight and uninventive movie : like the exalted michael jordan referred to in the title , many can aspire but none can equal .", "i 've had more interesting -- and , dare i say , thematically complex -- bowel movements than this long-on-the-shelf , point-and-shoot exercise in gimmicky crime drama .", "the name says it all ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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