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gagan3012
/
swin_arocr_tiny

Image Feature Extraction
Transformers
PyTorch
swinv2
masked-image-modeling
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use gagan3012/swin_arocr_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gagan3012/swin_arocr_tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="gagan3012/swin_arocr_tiny")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("gagan3012/swin_arocr_tiny")
    model = AutoModel.from_pretrained("gagan3012/swin_arocr_tiny")
  • Notebooks
  • Google Colab
  • Kaggle
swin_arocr_tiny
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gagan3012's picture
gagan3012
Create README.md
2292e37 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.9 kB
    Create README.md over 3 years ago
  • config.json
    827 Bytes
    Upload model over 3 years ago
  • preprocessor_config.json
    327 Bytes
    Upload processor over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    110 MB
    xet
    Upload model over 3 years ago