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lycaoduong
/
Visionin-ocrTask4-1B

Feature Extraction
Transformers
Safetensors
internvl_chat
custom_code
Model card Files Files and versions
xet
Community

Instructions to use lycaoduong/Visionin-ocrTask4-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lycaoduong/Visionin-ocrTask4-1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="lycaoduong/Visionin-ocrTask4-1B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lycaoduong/Visionin-ocrTask4-1B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • added_tokens.json
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  • config.json
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  • configuration_intern_vit.py
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  • conversation.py
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  • vocab.json
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