sentence-transformers How to use samsartor/connections-categories-qwen3-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("samsartor/connections-categories-qwen3-0.6B")
sentences = [
"first words in rappers’ names",
"twin, ruby, fire truck, stop sign",
"hippo, warthog, heck, fudge",
"national, business, taboo, opinion"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
