How to use swardiantara/bert-tiny-amazon_reviews-k3-fixed-euclidean with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-amazon_reviews-k3-fixed-euclidean") sentences = [ "I received my first order of this product and it was broke so I ordered it again. The second one was broke in more places than the first. I can't blame the shipping process as it's shrink wrapped and boxed.", "My second one; so far they've held up just find. This one has been in daily use for work, all the zippers continue to work just fine. A metal jug of hot coffee is often in the main pocket, but I've never felt any heat from it. So far, these and the SOG Ninja packs are a very good deal for what they cost.", "I have had mine for 3 months now and all the bling is still in tact! Which is a huge plus for me. I always notice that’s always the first thing to mess up. Cute keychain! Love it.", "I ordered two of these. One came broken. It was packaged okay, so I believe it was broken due to the mail carrier tossing it onto my porch. The one that did not break, I love. It looks nice on my counter and serves its purpose. Updated review: Ok so the salt cellar that did not break during shipping pretty much shattered at the lightest touch after 3 weeks on my counter. I can no longer recommend this item, clearly they are not very durable at all." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
