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]
