sentence-transformers How to use nafis277/domain-mpnet-normalized with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("nafis277/domain-mpnet-normalized")
sentences = [
"According to Mitchell et al (1997) ______, the perceived ability of a stakeholder to influence organisational action, ________ whether the organisation perceives the stakeholder's actions as desirable, proper and appropriate and ________, the immediacy of attention the stakeholder claims require, determine stakeholder ________.",
"Mr. Williams, upon filing a petition for bankruptcy, stated that he had a total of only $2,240 in assets, with liabilities amounting to $5,600. How much money can Mr. Johnson, a creditor, expect to receive if he has a claim of $1,725?",
"What is the difference in cost between a 3-year policy and 3 one-year policies for $22,000 worth of coverage, if the rate is $1.19 per $1,000?",
"Williamsville has a total assessed valuation of property of $6,250,000.The town requires $360,000 for educational purposesand $115,000 for health and welfare needs. What isthe town's tax rate in dollars per $100."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
