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Qwen
/
Qwen3-VL-Reranker-2B

Text Ranking
Transformers
Safetensors
sentence-transformers
qwen3_vl
image-text-to-text
multimodal rerank
text rerank
Model card Files Files and versions
xet
Community
12

Instructions to use Qwen/Qwen3-VL-Reranker-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Qwen/Qwen3-VL-Reranker-2B with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-Reranker-2B")
    model = AutoModelForImageTextToText.from_pretrained("Qwen/Qwen3-VL-Reranker-2B")
  • sentence-transformers

    How to use Qwen/Qwen3-VL-Reranker-2B with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Qwen/Qwen3-VL-Reranker-2B")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

BUG FIX: the model wasn't able to call sample frames

1
#12 opened 25 days ago by
MarioRossi1234

Improve model card: add pipeline tag, library name, and paper link

❤️ 1
#8 opened 4 months ago by
nielsr

chatllm.cpp supports this model

#7 opened 4 months ago by
J22

Installation Video and Testing - Step by Step

#5 opened 4 months ago by
fahdmirzac

vllm?

#4 opened 4 months ago by
prudant
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