sentence-transformers How to use LamaDiab/MiniLM-v29-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v29-SemanticEngine")
sentences = [
"essence multi task concealer 15 natural nude",
"face make-up",
"natural nude concealer",
"mixsoon * una (master repair cream) enriched",
"cosmetics"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [5, 5] 
