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jxu124
/
SInViG-240117-0

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

Instructions to use jxu124/SInViG-240117-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jxu124/SInViG-240117-0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="jxu124/SInViG-240117-0", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jxu124/SInViG-240117-0", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SInViG-240117-0
3.79 GB
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  • 1 contributor
History: 2 commits
jxu124's picture
jxu124
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13607a8 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • added_tokens.json
    217 kB
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  • config.json
    1.71 kB
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  • configuration_tio.py
    8.24 kB
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  • generation_config.json
    213 Bytes
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  • gradio_app.py
    11.5 kB
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  • merges.txt
    456 kB
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  • model.safetensors
    3.79 GB
    xet
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  • modeling_tio.py
    89.9 kB
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  • preprocessor_config.json
    340 Bytes
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  • resnet.py
    9.47 kB
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    3.82 MB
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  • tokenizer_config.json
    1.63 MB
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  • utils_tio.py
    2.83 kB
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  • vocab.json
    798 kB
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