How to use LamaDiab/MiniLM-V9Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-V9Data-256BATCH-SemanticEngine") sentences = [ "pacman smoked turkey", "omelette with fresh basil & cherry tomatoes", "mozzarella pacman", " tote " ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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