Instructions to use Nika7664/Mnist_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Nika7664/Mnist_generator with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Nika7664/Mnist_generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02d62a0df16d715065eac8b05deb2197d9f6c03245b0e240b0d1e29351171668
- Size of remote file:
- 57 Bytes
- SHA256:
- 91131a175536dd5bf67036d592ff3095ad7650465f29b58bc8d0ed28094bb4b9
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