sentence-transformers How to use LamaDiab/NewMiniLM-V25Data-256BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/NewMiniLM-V25Data-256BATCH-SemanticEngine")
sentences = [
"essence multi task concealer 15 natural nude",
"tarte 4 in 1 mini mascara",
"essence",
"face make-up"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
