How to use yjoonjang/MIMO-mmBERT-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yjoonjang/MIMO-mmBERT-base") sentences = [ "Quiero dar las gracias -quiero decirlo correctamente- a la Comisión dimitida que se encuentra todavía en funciones, porque no fue una labor sencilla.", "They say you killed Joffrey.", "es", "I should like to thank the Commission which - I want to get this right - has resigned, but which is still in office. It has not been an easy time." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
