sentence-transformers How to use tomerRest/line_item_embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomerRest/line_item_embeddings")
sentences = [
"Lasagna Sheets Koch 2kg",
"PASTADURA",
"Salt Chicken 3kg Gluten Free Saxa",
"2022 Jerzu Antichi Podero Vermentino di Sardegna D.O.C."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
