How to use Liu-Xiang/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Liu-Xiang/bge-base-financial-matryoshka") sentences = [ "The lawsuits were filed in the wake of media reports that the U.S. Department of Justice had served civil investigative demands upon these carriers seeking documents and information relating to this subject.", "What type of details does Note 15 of the Consolidated Financial Statements provide?", "What action did the U.S. Department of Justice take in relation to the antitrust allegations against Delta, American, United, and Southwest airlines?", "What does the index in a financial report indicate?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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