How to use LamaDiab/NewMiniLM-V27Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/NewMiniLM-V27Data-256BATCH-SemanticEngine") sentences = [ "essence multi task concealer 15 natural nude", "adidas men shower gel 3 in 1", " essence multi task concealer", "face make-up" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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