How to use swardiantara/bert-tiny-amazon_reviews-k1-fixed-cosine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/bert-tiny-amazon_reviews-k1-fixed-cosine") sentences = [ "I had problem with the 2 screen protectors, any of them paste well on the screen. Very disappointing because I also bought the complete screen protection and I hope not happening the same thing...", "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.", "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.", "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]
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