sentence-transformers How to use carnival13/all-mpnet-base-v2-modulepred with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("carnival13/all-mpnet-base-v2-modulepred")
sentences = [
"module: stationery & printed material & services group: stationery & printed material & services supergroup: stationery & printed material & services example descriptions: munchkin crayons hween printedsheet mask 2 pk printed tape tour os silver butterfly relax with art m ab hardbacknotebook stickers p val youmeyou text heat w mandalorian a 5 nbook nediun bubble envelopes 6 pk whs pastel expan org p poll decoration 1 airtricity payasyoug",
"retailer: groveify description: rainbow magicbooks",
"retailer: crispcorner description: glazed k kreme",
"retailer: vitalveg description: may held aop fl"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
