How to use LamaDiab/MiniLM-v30-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-v30-SemanticEngine") sentences = [ "gerber organic apple spinach with kale", "baby food", "flavor free baby food", "my beauty nail art set" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
