sentence-transformers How to use gavinqiangli/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("gavinqiangli/bge-base-financial-matryoshka")
sentences = [
"Net carrying amount | 10,953 | Less short-term portion | (1,250) | Total long-term portion | $ | 9,703",
"How much did restructuring costs amount to in the financial statement?",
"How much long-term debt remains after accounting for the short-term portion as of January 29, 2023?",
"What are the company's environmental sustainability strategies?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
