sentence-transformers How to use tomaarsen/mpnet-base-gooaq with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomaarsen/mpnet-base-gooaq")
sentences = [
"11 is what of 8?",
"*RARE* CANDY AXE AND RED NOSED RAIDER IS BACK - FORTNITE ITEM SHOP 8TH DECEMBER 2019.",
"Convert fraction (ratio) 8 / 11 Answer: 72.727272727273%",
"Old-age pensions are not included in taxable income under the personal income tax."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
