How to use Naruke/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Naruke/bge-base-financial-matryoshka") sentences = [ "Interest expense increased nominally by 1% from $935 million in 2022 to $944 million in 2023, and the change reflected only a small adjustment in the financial operations.", "What recent technological advancements has the company implemented in set-top box (STB) solutions?", "How much did the interest expense change from 2022 to 2023?", "What are the conditions under which AENB is restricted from making dividend distributions to TRS without OCC approval?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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