How to use clembi/ModernBERT-base-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("clembi/ModernBERT-base-embed") sentences = [ "In 1831, interesting novels were written in Paris.", "Hugo and Dumas met in the Opera in Paris in 1831.", "Many interesting novels are released in the 21st century.", "A new vegan burger is offered at the counter from now on." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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