How to use S13v3n-2/scoring-camembert-v5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("S13v3n-2/scoring-camembert-v5") sentences = [ "Avoir un esprit pratique et une curiosité pour les objets techniques", "Rédiger des actes juridiques et documents légaux professionnels", "Maîtriser la suite Adobe (Photoshop, Illustrator, InDesign)", "Conduire une analyse concurrentielle et benchmark de marché" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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