sentence-transformers How to use Ezz-tech/bahrain-hs-classifier-high-accuracy with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Ezz-tech/bahrain-hs-classifier-high-accuracy")
sentences = [
"wool velvit floor carppet, readymade for home use",
"291639000001 Nitrobenzoic acids (meta-, ortho- and para-) and their salts and esters",
"570249900002 Carpets, floor, wool, velvet, ready",
"130190300000 - - - Benzoin"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
