sentence-transformers How to use LamaDiab/MiniLM-V9Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V9Data-256BATCH-SemanticEngine")
sentences = [
"pacman smoked turkey",
"omelette with fresh basil & cherry tomatoes",
"mozzarella pacman",
" tote "
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
