Instructions to use Wauplin/mnist_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/mnist_example with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Wauplin/mnist_example") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dec3a529efade306fc9b141507c1050135e055c37253234359c89cbec8c8c1a
- Size of remote file:
- 158 kB
- SHA256:
- 4c76530ae31ad2180f2dad7bef896c0b647527041f93e0346281b5218e567efd
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