sentence-transformers How to use LamaDiab/MiniLM-V23Data-256ConstantShuffleBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V23Data-256ConstantShuffleBATCH-SemanticEngine")
sentences = [
"must kindergarten backpack mermazing 2 cases",
"100 horse riding sleeveless gilet - black",
" must backpack ",
"bag"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
