How to use nextdaySunshine/qwen3-embedding-0.6b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nextdaySunshine/qwen3-embedding-0.6b") sentences = [ "He's a bull in a china shop", "bull in a china shop: a person who breaks things or who often makes mistakes or causes damage in situations that require careful thinking or behavior", "cloud nine: very happy/excited", "on the other hand: from a different point of view" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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