Instructions to use keras-io/tab_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/tab_transformer with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/tab_transformer") - Notebooks
- Google Colab
- Kaggle
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library_name: keras
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## Model description
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More information needed
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### Keras Implementation of Structured data learning with TabTransformer
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This repo contains the trained model of [Structured data learning with TabTransformer](https://keras.io/examples/structured_data/tabtransformer/#define-dataset-metadata).
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The full credit goes to: [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/)
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library_name: keras
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- tabular-classification
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- transformer
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### Keras Implementation of Structured data learning with TabTransformer
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This repo contains the trained model of [Structured data learning with TabTransformer](https://keras.io/examples/structured_data/tabtransformer/#define-dataset-metadata).
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The full credit goes to: [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/)
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