How to use LamaDiab/MiniLM-v33-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-v33-SemanticEngine") sentences = [ "dove - nourishing body care moisturizing beauty cream - 75 ml", "body moisturizer", " moisturizing body cream", "skincare set game" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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