How to use LamaDiab/MiniLM-v2-v32-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-v2-v32-SemanticEngine") sentences = [ "dove deodorant stick fresh", "women's deodorant", "antiperspirant deodorant stick", "bubbles natur.bottle w.hand pink(6)m280m" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
