How to use tomaarsen/Qwen3-VL-Embedding-2B-vdr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/Qwen3-VL-Embedding-2B-vdr") sentences = [ "What are the different phases involved in ethical hacking?", "What diameter of synthetic rope is recommended for building a half-barrel water reservoir?", "What are the preliminary considerations for reviewing advanced waste technologies?", "How does CITES categorize endangered animals for international trade protection?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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