Instructions to use zelk12/mnist_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zelk12/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://zelk12/mnist_Model") - Notebooks
- Google Colab
- Kaggle
Upload keras_metadata.pb
Browse files- keras_metadata.pb +3 -0
keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:f731053f0993de8c522d293f9e37efcc3b36e3c18e23cb05e385dc06478ac325
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size 12535
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