sentence-transformers How to use swardiantara/bert-tiny-sst5-k5-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("swardiantara/bert-tiny-sst5-k5-fixed-euclidean")
sentences = [
"eccentric enough to stave off doldrums , caruso 's self-conscious debut is also eminently forgettable .",
"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 .",
"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 .",
"not even solondz 's thirst for controversy , sketchy characters and immature provocations can fully succeed at cheapening it ."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
