Instructions to use GiladtheFixer/my_Mnist_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GiladtheFixer/my_Mnist_Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://GiladtheFixer/my_Mnist_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ffeacdbc27ae4d60aee44d0d23c3066e061347f8a2a0145df3922ac7c1a1148
- Size of remote file:
- 5.65 MB
- SHA256:
- 8b37ad0070a769b922c5dd80bdb68f7352f140481b0c1dc8ac5854b7cf737e01
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