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 saved_model.pb from keras-io/structured-data-classification: direct link, hf CLI and curl.
- Browser
- Download file 467 kB
-
https://huggingface.co/keras-io/structured-data-classification/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/structured-data-classification/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/structured-data-classification/resolve/main/saved_model.pb
467 kB
- Xet hash:
- f06cb319725b6b97decbaf6d8a69b01241958be035e537e0b8e9c11f6e1e0f72
- Size of remote file:
- 467 kB
- SHA256:
- d1dfc23a707f2638f023f478ddf01f57d184d251a376ef3026c94c56a652c5f6
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