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jabo
/
deit-base-page-filter

Image Classification
Transformers
PyTorch
Safetensors
English
vit
Model card Files Files and versions
xet
Community

Instructions to use jabo/deit-base-page-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jabo/deit-base-page-filter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jabo/deit-base-page-filter")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("jabo/deit-base-page-filter")
    model = AutoModelForImageClassification.from_pretrained("jabo/deit-base-page-filter")
  • Notebooks
  • Google Colab
  • Kaggle
deit-base-page-filter
689 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 33 commits
jabo's picture
jabo
Upload processor
ebf5f98 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    960 Bytes
    Upload README.md with huggingface_hub almost 2 years ago
  • config.json
    760 Bytes
    Upload ViTForImageClassification almost 2 years ago
  • model.safetensors
    344 MB
    xet
    Push model using huggingface_hub. almost 2 years ago
  • preprocessor_config.json
    325 Bytes
    Upload processor almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    344 MB
    xet
    Upload ViTForImageClassification almost 2 years ago