sentence-transformers How to use PhilipCisco/qwen3-base-financial2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("PhilipCisco/qwen3-base-financial2")
sentences = [
"What were the total assets at fair value on December 31, 2023?",
"In addition to its contractual cash requirements, the Company has an authorized share repurchase program. The program does not obligate the Company to acquire a minimum amount of shares. As of September 30, 2023, the Company’s quarterly cash dividend was $0.24 per share.",
"Effective January 1, 2023, we prospectively adopted new guidance that eliminated the recognition and measurement of TDRs. We evaluate all loans and receivables restructurings according to accounting guidance for loan refinancing and restructuring. Modifications to loans and receivables primarily include temporary interest rate reductions and placing the customer on a fixed payment plan not to exceed 60 months.",
"Total assets at fair value on December 31, 2023 were reported to be $71,921 million."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
