sentence-transformers How to use fjavigv24/snoweu with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("fjavigv24/snoweu")
sentences = [
"What are the conditions that must be met for the appointment of a depositary established in a third country for non-EU AIFs?",
"(a)\n\nfor EU AIFs, in the home Member State of the AIF;\n\n(b)\n\nfor non-EU AIFs, in the third country where the AIF is established or in the home Member State of the AIFM managing the AIF or in the Member State of reference of the AIFM managing the AIF.\n\n6.\n\nWithout prejudice to the requirements set out in paragraph 3, the appointment of a depositary established in a third country shall, at all times, be subject to the following conditions:\n\n(a)",
"(c)\n\nthe financial soundness of the proposed acquirer, in particular in relation to the type of business pursued and envisaged in the investment firm in which the acquisition is proposed;\n\n(d)\n\nwhether the investment firm will be able to comply and continue to comply with the prudential requirements based on this Directive and, where applicable, other Directives, in particular Directives 2002/87/EC and 2013/36/EU, in particular, whether the group of which it will become a part has a structure that makes it possible to exercise effective supervision, effectively exchange information among the competent authorities and determine the allocation of responsibilities among the competent authorities;\n\n(e)",
"(f)\n\nthe undertaking shall describe the expected decarbonisation levers and their overall quantitative contributions to achieve the GHG emission reduction targets (e.g., energy or material efficiency and consumption reduction, fuel switching, use of renewable energy , phase out or substitution of product and process).\n\nDisclosure Requirement E1-5 – Energy consumption and mix\n\nThe undertaking shall provide information on its energy consumption and mix.\n\nThe objective of this Disclosure Requirement is to provide an understanding of the undertaking’s total energy consumption in absolute value, improvement in energy efficiency, exposure to coal, oil and gas-related activities, and the share of renewable energy in its overall energy mix."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
