How to use Solomennikova/labse_funetuned_for_categories with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Solomennikova/labse_funetuned_for_categories") sentences = [ "шкаф в детский пастельный", "Классические подушки", "Тумбы", "Прямые диваны" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
