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BiliSakura
/
ViTP-InternVL-1B-General

Image Feature Extraction
Transformers
Safetensors
English
intern_vit_6b
feature-extraction
vision
image-classification
vit
ViTP
InternVL
domain-adaptation
general
custom_code
Model card Files Files and versions
xet
Community

Instructions to use BiliSakura/ViTP-InternVL-1B-General with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BiliSakura/ViTP-InternVL-1B-General with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="BiliSakura/ViTP-InternVL-1B-General", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BiliSakura/ViTP-InternVL-1B-General", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ViTP-InternVL-1B-General
608 MB
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  • 1 contributor
History: 4 commits
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BiliSakura
Update README.md
cb4e5b7 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.69 kB
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  • config.json
    709 Bytes
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  • configuration_intern_vit.py
    5.67 kB
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  • model.safetensors
    608 MB
    xet
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  • modeling_intern_vit.py
    18.8 kB
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  • preprocessor_config.json
    266 Bytes
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