How to use dpokhrel/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dpokhrel/bge-base-financial-matryoshka") sentences = [ "AutoZone, Inc. began operations in 1979.", "What types of products and markets does the company cater to in the semiconductor industry?", "When did AutoZone, Inc. begin its operations?", "How much did general and administrative expenses related to merger, acquisition, and other costs change from 2022 to 2023?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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