sentence-transformers How to use LamaDiab/MiniLM-v35-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v35-SemanticEngine")
sentences = [
"creamy black varnish for black leathers",
"shoe accessory",
"the first product scented, nourishing, polishing and preserving all types of leather 50 gr.",
"steal the scene t-shirt"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
