How to use Antix5/product-embed-multi-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Antix5/product-embed-multi-e5-small") sentences = [ "Légumes mijotés Jardinière et haricots blancs", "AMSCAN GOLD PLSTC FORKS | PARTY SUPPLY | 240 CT.", "辣椒酱", "Pizza de verduras brasadas" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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