Instructions to use AlexanderD/test_cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AlexanderD/test_cats with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AlexanderD/test_cats") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 9b20742
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README.md
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widget:
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- src: https://huggingface.co/datasets/test_cats/cifar1.jpg
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example_title: Tiger
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thumbnail: "url to a thumbnail used in social sharing"
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library_name: keras
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tags:
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- keras
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widget:
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- src: https://huggingface.co/datasets/test_cats/cifar1.jpg
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example_title: Tiger
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