How to use S13v3n-2/scoring-camembert-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("S13v3n-2/scoring-camembert-v2") sentences = [ "Implémenter des pipelines DevOps avec CI/CD (Jenkins, GitLab CI)", "Analyser les performances avec Meta Business Suite et Google Analytics", "Prospecter de nouveaux clients et développer un portefeuille commercial", "Maîtriser la suite Adobe (Photoshop, Illustrator, InDesign)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
