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 variables/variables.index from keras-io/CutMix_data_augmentation_for_image_classification: direct link, hf CLI and curl.
- Browser
- Download file 7.62 kB
-
https://huggingface.co/keras-io/CutMix_data_augmentation_for_image_classification/resolve/main/variables/variables.index
- Command line
-
hf download hf://keras-io/CutMix_data_augmentation_for_image_classification/variables/variables.index
-
curl -L -o variables.index https://huggingface.co/keras-io/CutMix_data_augmentation_for_image_classification/resolve/main/variables/variables.index
7.62 kB
- Xet hash:
- c79b5b677d1d9f7e5e98e23801bc26133ff40a6544858d8198f8cf0561f1ed69
- Size of remote file:
- 7.62 kB
- SHA256:
- 14615f851513c1df55615ca2e6b196f03e1330df667e09518550c5b2bfc360c2
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