sentence-transformers How to use LamaDiab/MiniLM-v27-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v27-SemanticEngine")
sentences = [
"essence multi task concealer 15 natural nude",
"face make-up",
"adidas men shower gel 3 in 1",
"health_beauty",
"beauty",
" essence multi task concealer"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [6, 6] 
