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hf-tiny-model-private
/
tiny-random-Data2VecVisionForSemanticSegmentation

Transformers
PyTorch
google-tensorflow TensorFlow
data2vec-vision
Model card Files Files and versions
xet
Community
1

Instructions to use hf-tiny-model-private/tiny-random-Data2VecVisionForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-Data2VecVisionForSemanticSegmentation with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, Data2VecVisionForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecVisionForSemanticSegmentation")
    model = Data2VecVisionForSemanticSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecVisionForSemanticSegmentation")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-Data2VecVisionForSemanticSegmentation
1.48 kB
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  • 1 contributor
History: 1 commit
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hf-transformers-bot
initial commit
784320e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago