How to use whitemouse84/LaBSE-en-ru-distilled-each-third-layer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("whitemouse84/LaBSE-en-ru-distilled-each-third-layer") sentences = [ "Такие лодки строились, чтобы получить быстрый доступ к приходящим судам.", "been nice talking to you", "Нельзя ставить под сомнение притязания клиента, если не были предприняты шаги.", "Dharangaon Railway Station serves Dharangaon in Jalgaon district in the Indian state of Maharashtra." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
