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]
