sentence-transformers How to use LamaDiab/MiniLM-V22Data-256ConstantBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V22Data-256ConstantBATCH-SemanticEngine")
sentences = [
"essence multi task concealer 15 natural nude",
"pure oxygen 20 vol",
"essence",
"face make-up"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
