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]
