How to use chcho/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("chcho/bge-base-financial-matryoshka") sentences = [ "Goodwill is recognized for the excess of the purchase price over the fair value of tangible and identifiable intangible net assets of businesses acquired. In evaluating goodwill impairment, a qualitative assessment is performed to determine the likelihood that the fair value of a reporting unit is less than its carrying amount. This might lead to further testing of goodwill for impairment, which includes comparing the fair value of the reporting unit to its carrying value (including attributable goodwill). Fair value for our reporting units is determined using an income or market approach incorporating market participant considerations and management’s assumptions.", "How is goodwill reviewed for impairment in a company, and what methods are used to determine the fair value of reporting units?", "What regulatory framework does the FCC currently apply to broadband internet access services as of 2023?", "What were the total interest payments made by the company in 2023, 2022, and 2021?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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