How to use zyc-zju/qwen3-embedding-0.6b_qwen3-8b_hotpotqa_lsr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zyc-zju/qwen3-embedding-0.6b_qwen3-8b_hotpotqa_lsr") sentences = [ "he Central Harbourfront is a waterfront site it is the result of Central and Wan Chai Reclamation, and it sits to the east of the International Finance Centre (IFC), a skyscraper and an integrated commercial development on the waterfront of the Central District, of which territory?", "Sammy Wilson", "UK", "Hong Kong" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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