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HudeKing
/
PixVL-m3-bestcap-selfverify

Image Segmentation
Transformers
qwen3_vl
image-text-to-text
pixvl
qwen3-vl
visual-grounding
Model card Files Files and versions
xet
Community

Instructions to use HudeKing/PixVL-m3-bestcap-selfverify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HudeKing/PixVL-m3-bestcap-selfverify with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="HudeKing/PixVL-m3-bestcap-selfverify")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("HudeKing/PixVL-m3-bestcap-selfverify")
    model = AutoModelForMultimodalLM.from_pretrained("HudeKing/PixVL-m3-bestcap-selfverify", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PixVL-m3-bestcap-selfverify
11.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
HudeKing's picture
HudeKing
Upload model configuration
8276971 verified 22 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    573 Bytes
    Add PixVL model card 22 days ago
  • chat_template.jinja
    5.29 kB
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  • config.json
    1.66 kB
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  • generation_config.json
    217 Bytes
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  • preprocessor_config.json
    782 Bytes
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  • processor_config.json
    1.33 kB
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  • tokenizer.json
    11.5 MB
    xet
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  • tokenizer_config.json
    418 Bytes
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  • video_preprocessor_config.json
    861 Bytes
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