sentence-transformers 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] 
