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OpenGVLab
/
internimage_l_22k_384

Image Classification
Transformers
Safetensors
internimage
feature-extraction
custom_code
Model card Files Files and versions
xet
Community

Instructions to use OpenGVLab/internimage_l_22k_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenGVLab/internimage_l_22k_384 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="OpenGVLab/internimage_l_22k_384", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("OpenGVLab/internimage_l_22k_384", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
internimage_l_22k_384
1.05 GB
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  • 1 contributor
History: 3 commits
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czczup
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cd2b46b verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    7.17 kB
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  • config.json
    1.07 kB
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  • configuration_internimage.py
    5.39 kB
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  • dcnv3.py
    12.5 kB
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  • dcnv3_func.py
    8.6 kB
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  • model.safetensors
    1.05 GB
    xet
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  • modeling_internimage.py
    34.7 kB
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  • preprocessor_config.json
    287 Bytes
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