sentence-transformers 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] 
