sentence-transformers How to use LamaDiab/MiniLM-V13Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V13Data-256BATCH-SemanticEngine")
sentences = [
"essence multi task concealer 15 natural nude",
"one in shower cream sensitive 40 gr fruity",
"natural nude concealer",
"best ab wheel"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
