sentence-transformers How to use aaa961/modernbert-embed-base-legal_no_MRL_reverse_dataset_early_stopping with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("aaa961/modernbert-embed-base-legal_no_MRL_reverse_dataset_early_stopping")
sentences = [
"What section of the U.S. Code is cited in relation to Exemption 2?",
"forma inmediata de la utilización de cualquiera y todo material en el \nque se utilizara la imagen de la parte apelada. En adición, le \ncondenó solidariamente al pago de $20,000.00 por la utilización no \n \n \n \nKLAN202300916 \n \n6\nautorizada de la imagen del señor Friger Salgueiro y $4,000.00 por \nhonorarios de abogado. \nEn desacuerdo, el 20 de septiembre de 2023, la parte apelante",
"How does the invocation of the attorney-client privilege by the CIA affect summary judgment?",
"Decl. Ex. K pt. 2, at 1, 8–14, 16–18, 22, 27, No. 11-445, ECF No. 29-3. Exemption 2 applies to \nmatters that “related solely to the internal personnel rules and practices of an agency.” 5 U.S.C. \n§ 552(b)(2). The CIA states in its declaration that all thirteen documents withheld under"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
