sentence-transformers 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] 
