Instructions to use keras-io/CutMix_data_augmentation_for_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/CutMix_data_augmentation_for_image_classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/CutMix_data_augmentation_for_image_classification") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/CutMix_data_augmentation_for_image_classification: direct link, hf CLI and curl.
- Browser
- Download file 315 kB
-
https://huggingface.co/keras-io/CutMix_data_augmentation_for_image_classification/resolve/main/model.png
- Command line
-
hf download hf://keras-io/CutMix_data_augmentation_for_image_classification/model.png
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curl -L -o model.png https://huggingface.co/keras-io/CutMix_data_augmentation_for_image_classification/resolve/main/model.png
315 kB

- Xet hash:
- e856e8b45ca21d2469aebe505760b7b8c0bfcaf44b6d1b16738eb2650993c45d
- Size of remote file:
- 315 kB
- SHA256:
- 95b4fcf8af223d9b09fd4f475d37d9f095f0068db20e8cc06adda9d411c53828
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