sentence-transformers How to use LamaDiab/MiniLM-v32-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-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] 
