How to use pa-shk/USER-bge-m3_clean with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pa-shk/USER-bge-m3_clean") sentences = [ "Лазанья из блинов", "Гель-шампунь Самокат, для мужчин, 2 в 1, бергамот и кедр, 750 мл", "Блины Шоколадница, с ветчиной и сыром, 200 г", "Утка по-пекински Duckit, с блинчиками, овощами и соусом хойсин, 260 г" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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