How to use LamaDiab/MiniLM-V26Data-256ShuffleBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-V26Data-256ShuffleBATCH-SemanticEngine") sentences = [ "casa chandelier", "new eleganza - 6-999-x", "casa chandelier", "chandlier" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
