Instructions to use keras-io/adamatch-domain-adaption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/adamatch-domain-adaption 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/adamatch-domain-adaption") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`. (#1)
Browse files- Set `library_name` to `tf-keras`. (5f734530cff9057c6b8ff4a262017b905bced7a0)
Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>
README.md
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tags:
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- semi-supervised
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- image classification
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- domain adaption
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- SVHN
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## Model description
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- MNIST
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- SVHN
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library_name: tf-keras
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tags:
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- semi-supervised
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- image classification
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- domain adaption
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## Model description
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