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hf-internal-testing
/
tiny-random-HieraForImageClassification

Image Classification
Transformers
ONNX
Safetensors
hiera
Model card Files Files and versions
xet
Community

Instructions to use hf-internal-testing/tiny-random-HieraForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-HieraForImageClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-HieraForImageClassification")
    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("hf-internal-testing/tiny-random-HieraForImageClassification")
    model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-HieraForImageClassification")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-HieraForImageClassification
3.51 MB
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  • 1 contributor
History: 5 commits
Xenova's picture
Xenova HF Staff
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  • .gitattributes
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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