How to use ritulk/MPNET-fine-tuned-political-clustering with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ritulk/MPNET-fine-tuned-political-clustering") sentences = [ "Dia Internacional del Nen Prematur", "Premiats a les comarques de Barcelona", "Les concordances són adjectiu / substantiu o verb / substantiu.", "Els Mossos en busquen un altre, que va aconseguir fugir en ser enxampats 'in fraganti'" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
