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Imene
/
vit-base-patch16-384-wi5

Image Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Imene/vit-base-patch16-384-wi5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Imene/vit-base-patch16-384-wi5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Imene/vit-base-patch16-384-wi5")
    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("Imene/vit-base-patch16-384-wi5")
    model = AutoModelForImageClassification.from_pretrained("Imene/vit-base-patch16-384-wi5")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-384-wi5 / logs /train
3.27 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Imene's picture
Imene
End of training
04634c3 over 3 years ago
  • events.out.tfevents.1662491449.8b67576fb1a6.77.0.v2
    3.27 MB
    xet
    End of training over 3 years ago