How to use LamaDiab/MiniLM-256BATCH-V6Data-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-256BATCH-V6Data-SemanticEngine") sentences = [ "cream 21 baby oil with almond oil", "hi, barbie! bundle", "nourishing baby oil", "material: wooden. size: 15 x 30 cm." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
