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Nhaass
/
Qwen3-VL-2B-ChartQA

Visual Question Answering
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
vision
chart-qa
qwen3-vl
thinking
reasoning
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Nhaass/Qwen3-VL-2B-ChartQA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Nhaass/Qwen3-VL-2B-ChartQA")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Nhaass/Qwen3-VL-2B-ChartQA")
    model = AutoModelForMultimodalLM.from_pretrained("Nhaass/Qwen3-VL-2B-ChartQA", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-VL-2B-ChartQA
4.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Nhaass's picture
Nhaass
Upload processor
b4287b1 verified 9 months ago
  • .gitattributes
    1.57 kB
    Upload processor 9 months ago
  • README.md
    2.22 kB
    Create README.md 9 months ago
  • added_tokens.json
    707 Bytes
    Upload processor 9 months ago
  • chat_template.jinja
    5.2 kB
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  • config.json
    1.6 kB
    Upload Qwen3VLForConditionalGeneration 9 months ago
  • generation_config.json
    178 Bytes
    Upload Qwen3VLForConditionalGeneration 9 months ago
  • merges.txt
    1.67 MB
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  • model.safetensors
    4.26 GB
    xet
    Upload Qwen3VLForConditionalGeneration 9 months ago
  • preprocessor_config.json
    782 Bytes
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.45 kB
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  • video_preprocessor_config.json
    817 Bytes
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  • vocab.json
    2.78 MB
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