How to use LamaDiab/MiniLM-V13Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-V13Data-256BATCH-SemanticEngine") sentences = [ "essence multi task concealer 15 natural nude", "one in shower cream sensitive 40 gr fruity", "natural nude concealer", "best ab wheel" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
