sentence-transformers How to use RohitUltimate/Qwen3-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("RohitUltimate/Qwen3-0.6B")
sentences = [
" gbp issued by the surrey oaks surrey june james connolly transaction card",
"Food and subsistence",
"Other direct costs",
"Directors' current accounts"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
