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:
- 742e5e5cb051885cce08539ff4ffcf29ab1265bb5462a6ce3c3d219b715a1705
- Size of remote file:
- 18.3 kB
- SHA256:
- c32f77c0f5f2497cb9e55d24cc62ac69c25aafcec721a8fd42620b4e1827e36c
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