Instructions to use aipanjab/digit-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aipanjab/digit-recognition with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aipanjab/digit-recognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8940ed9a0aedcaf2d8556715672f6b03cb110c15cd764257ad34c3d4785afa85
- Size of remote file:
- 177 kB
- SHA256:
- 8e6f4ac846a1502cfea87f0a6c46c80de48c1c249d2983d17e3c10d953c281c5
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