How to use LamaDiab/MiniLM-v31-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-v31-SemanticEngine") sentences = [ "turmeric", "essential oils", "joint comfort essential oil", "bubble enigma" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
