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
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---
library_name: keras
---
This model has been uploaded using the Keras library and can be used with JAX, TensorFlow, and PyTorch backends.
This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
For more details about the model architecture, check out [config.json](./config.json).
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