sentence-transformers How to use LamaDiab/MiniLM-v2-v29-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-v2-v29-SemanticEngine")
sentences = [
"pappardelle beef ragu",
"chocolate molten",
"slow-cooked pasta",
"pasta",
"pasta"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [5, 5] 
