sentence-transformers How to use benjamintli/modernbert-msmarco with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("benjamintli/modernbert-msmarco")
sentences = [
"tachyphylaxis definition",
"1 In some areas plumbers charge $45 -$75 an hour; in other regions the hourly rate can be $75 -$150. 2 Most plumbers charge a two-hour minimum or a service call fee of $75 -$150, and some plumbers bill a flat fee per job instead of an hourly rate.3 Either away, exact costs will depend on the complexity and type of work done. Plumbers' rates vary significantly by location. 2 In some areas plumbers charge $45 -$75 an hour; in other regions the hourly rate can be $75 -$150.",
"Medical Definition of tachyphylaxis. plural. tachyphylaxes. \\-ËsÄz\\play. : diminished response to later increments in a sequence of applications of a physiologically active substance (as the diminished pressor response that follows repeated injections of renin)",
"Quick Answer. Injury to the phrenic nerve can paralyze the diaphragm and have a serious impact on the regulation of breathing, such as difficulty during inhalation, according to the UCLA Division of Plastic & Reconstructive Surgery. The phrenic nerve is responsible for the function of the diaphragm. Continue Reading."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
