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XO-Appleton
/
vit-base-patch16-224-in21k-MR

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

  • Libraries
  • Transformers

    How to use XO-Appleton/vit-base-patch16-224-in21k-MR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="XO-Appleton/vit-base-patch16-224-in21k-MR")
    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("XO-Appleton/vit-base-patch16-224-in21k-MR")
    model = AutoModelForImageClassification.from_pretrained("XO-Appleton/vit-base-patch16-224-in21k-MR")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-in21k-MR
Ctrl+K
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  • 1 contributor
History: 8 commits
XO-Appleton's picture
XO-Appleton
Upload preprocessor_config.json with huggingface_hub
f0f2227 almost 3 years ago
  • logs
    Training in progress epoch 3 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    2.45 kB
    Training in progress epoch 3 almost 3 years ago
  • config.json
    652 Bytes
    Training in progress epoch 0 almost 3 years ago
  • preprocessor_config.json
    327 Bytes
    Upload preprocessor_config.json with huggingface_hub almost 3 years ago
  • tf_model.h5
    343 MB
    xet
    Training in progress epoch 3 almost 3 years ago