How to use vkimbris/bge-m3-item-matcher with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vkimbris/bge-m3-item-matcher") sentences = [ "Молоко 3,2% 'БМК' (здж уклон) БЗМЖ 1 л*12", "EMPTY", "Кокосовое молоко Esoro", "EMPTY" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
