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
- Xet hash:
- e690c5575a8a7abeece61b573b0910772cd5098b3ee3763a6943ce7f377990a9
- Size of remote file:
- 6.66 MB
- SHA256:
- 133510bb141465434731f34fad016e877180125493beab1fe835794fe0bdbe47
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