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]
