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]
