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ansilmbabl
/
vit-base-patch16-224-in21k-Cards

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 ansilmbabl/vit-base-patch16-224-in21k-Cards with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ansilmbabl/vit-base-patch16-224-in21k-Cards with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ansilmbabl/vit-base-patch16-224-in21k-Cards")
    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("ansilmbabl/vit-base-patch16-224-in21k-Cards")
    model = AutoModelForImageClassification.from_pretrained("ansilmbabl/vit-base-patch16-224-in21k-Cards")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-in21k-Cards
350 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ansilmbabl's picture
ansilmbabl
Create preprocessor_config.json
ccde53d verified almost 2 years ago
  • .ipynb_checkpoints
    Training in progress epoch 1 almost 2 years ago
  • logs
    Training in progress epoch 5 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.95 kB
    Training in progress epoch 5 almost 2 years ago
  • config.json
    998 Bytes
    Training in progress epoch 0 almost 2 years ago
  • preprocessor_config.json
    160 Bytes
    Create preprocessor_config.json almost 2 years ago
  • tf_model.h5
    344 MB
    xet
    Training in progress epoch 5 almost 2 years ago