sentence-transformers How to use LamaDiab/MiniLM-V15Data-128BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LamaDiab/MiniLM-V15Data-128BATCH-SemanticEngine")
sentences = [
"must kindergarten backpack mermazing 2 cases",
"wide leg popline pants b22",
" kindergarten mermazing backpack ",
"bag"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
