sentence-transformers 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] 
