sentence-transformers How to use LamaDiab/MiniLM-V26Data-256ShuffleBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V26Data-256ShuffleBATCH-SemanticEngine")
sentences = [
"casa chandelier",
"new eleganza - 6-999-x",
"casa chandelier",
"chandlier"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
