Instructions to use lizardwine/DigitClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lizardwine/DigitClassifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lizardwine/DigitClassifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **Developer:** Lizardwine (x@lizardwine.com)
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- **Organization:** lizardwine
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- **Date:** 2024
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- **Developer:** Lizardwine (x@lizardwine.com)
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- **Organization:** lizardwine
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- **Date:** 06/06/2024
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