How to use tomerRest/line_item_embeddings_ with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomerRest/line_item_embeddings_") sentences = [ "DOVSHI, Dover Shiso Liqueur 700ml", "PINEAPPLE Gold XL", "Chocolate Donut t-SPRINKLE", "MEATPOR PORK SHOULDER BONELESS SKINLESS KSHLD CBO" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
