sentence-transformers How to use swardiantara/bert-tiny-amazon_reviews-k5-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("swardiantara/bert-tiny-amazon_reviews-k5-fixed-euclidean")
sentences = [
"Unless you have this jam-packed full of items, the unit collapses on itself. I never held it's shape therefore, making it hard to reach my items when I needed them. The silver metal pieces on the handle fell off soon after it arrived. I must have missed the \"return by\" date as I now am stuck with it.",
"very light weight. thin metal. nice looking just not a quality piece.it was okay for a kids gift. don't see it lasting very long as it will dent easy.",
"Good quality gasket and it was packaged well. Fit great as well.",
"Fit fine - do not stay up. I haven’t washed or stretched, literally too out of bag and tried on for a bit of walking around the house and within 30 minutes they bunched down. Not sure the elastic will last either. Other than that, colors/patterns and general fabric is nice."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
