Instructions to use Adhithpasu/DigitRecognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Adhithpasu/DigitRecognition with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Adhithpasu/DigitRecognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65a0735493fece39cc5b783a6cbe126105485849d81adb9ce0d3bab5e7ad2fa4
- Size of remote file:
- 9.33 MB
- SHA256:
- be10aa975c7c35d190beefeb730b6d6819e6a20f57ab4ae151c27f8dbe05354c
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