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darklorddad
/
Model-SwinV2-Tiny-83

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Trained with AutoTrain
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use darklorddad/Model-SwinV2-Tiny-83 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use darklorddad/Model-SwinV2-Tiny-83 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="darklorddad/Model-SwinV2-Tiny-83")
    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("darklorddad/Model-SwinV2-Tiny-83")
    model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-SwinV2-Tiny-83")
  • Notebooks
  • Google Colab
  • Kaggle
Model-SwinV2-Tiny-83 / autotrain-data /validation
138 MB
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  • 1 contributor
History: 1 commit
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darklorddad
Upload 15 files
0ab1fd4 verified 7 months ago
  • data-00000-of-00001.arrow
    137 MB
    xet
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  • dataset_info.json
    1.23 MB
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  • state.json
    267 Bytes
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