How to use julian-schelb/multilingual-e5-small-emb-lat-intertext-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("julian-schelb/multilingual-e5-small-emb-lat-intertext-v2") sentences = [ "omnia fert aetas, animum quoque; saepe ego longos cantando puerum memini me condere soles.", "saepe ego longos cantando puerum memini me condere soles.", "Gallia est omnis divisa in partes tres", "in nova fert animus mutatas dicere formas" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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