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]
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