How to use dustyatx/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dustyatx/bge-base-financial-matryoshka") sentences = [ "Total net additions to property and equipment for AWS in 2023 amounted to $24,843 million.", "What technological feature helps protect digital transactions in the Visa Token Service?", "What was the total net addition to property and equipment for AWS in the year 2023?", "By what proportion did net cash used in financing activities increase from 2022 to 2023?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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