Instructions to use keras-io/structured-data-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/structured-data-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/structured-data-classification") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/structured-data-classification: direct link, hf CLI and curl.
- Browser
- Download file 69 kB
-
https://huggingface.co/keras-io/structured-data-classification/resolve/e6ca9fed1619eac4c7be2ac9ca8fc57f7d1ea288/model.png
- Command line
-
hf download hf://keras-io/structured-data-classification@e6ca9fed1619eac4c7be2ac9ca8fc57f7d1ea288/model.png
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curl -L -o model.png https://huggingface.co/keras-io/structured-data-classification/resolve/e6ca9fed1619eac4c7be2ac9ca8fc57f7d1ea288/model.png
69 kB

- Xet hash:
- 700e25d82355d480abc79707c1466469b87e38025fdfacb51d87ca66b6016a2e
- Size of remote file:
- 69 kB
- SHA256:
- 05a00b1029c0b2dcb813a2ebca61387f58410b823fe1e6b62d0fe9913cad8588
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