sentence-transformers How to use suhwan3/mpnet_step1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("suhwan3/mpnet_step1")
sentences = [
"The First Trust Nasdaq Bank ETF (FTXO) seeks to replicate the performance of the Nasdaq US Smart Banks TM Index by investing at least 90% of its assets in the index's securities. This fund provides exposure to U.S. banking companies, selecting the most liquid stocks and ranking/weighting them based on factors including trailing volatility, value (cash flow to price), and growth (price returns). The index typically holds around 30 liquid U.S. banking companies across retail banking, loans, and financial services, with an 8% cap on any single holding. The fund is non-diversified, and the index undergoes annual reconstitution and quarterly rebalancing.",
"The iShares Evolved U.S. Media and Entertainment ETF seeks to invest in U.S. listed common stocks of large-, mid-, and small-capitalization companies within the media and entertainment sector. Following an \"Evolved\" approach, the fund selects companies belonging to the Media and Entertainment Evolved Sector based on economic characteristics historically correlated with traditional sector definitions. Under normal circumstances, it allocates at least 80% of its net assets to these stocks, and the fund is non-diversified.",
"The Direxion Daily Healthcare Bull 3X Shares (CURE) is an ETF that seeks daily investment results, before fees and expenses, of 300% (3X) of the daily performance of the Health Care Select Sector Index. It invests at least 80% of its net assets in financial instruments designed to provide this 3X daily leveraged exposure. The underlying index tracks US listed healthcare companies, including pharmaceuticals, health care equipment and supplies, providers and services, biotechnology, life sciences tools, and health care technology, covering major large-cap names. CURE is non-diversified and intended strictly as a short-term tactical instrument, as it delivers its stated 3X exposure only for a single day, and returns over longer periods can significantly differ from three times the index's performance.",
"The Xtrackers MSCI Emerging Markets Climate Selection ETF seeks to track an emerging markets index focused on companies meeting specific climate criteria. Derived from the MSCI ACWI Select Climate 500 methodology, the underlying index selects eligible emerging market stocks using an optimization process designed to reduce greenhouse gas emission intensity (targeting 10% revenue-related and 7% financing-related reductions) and increase exposure to companies with SBTi-approved targets. The strategy also excludes controversial companies and evaluates companies based on broader ESG considerations. The fund is non-diversified and invests at least 80% of its assets in the component securities of this climate-focused emerging markets index."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
