Instructions to use adhyhh/CharRecogDicoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adhyhh/CharRecogDicoding with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://adhyhh/CharRecogDicoding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 995158ab36b1d4fcc18adfa3145234b9040dd5d3ba373d5e08b97c50f32d5ebb
- Size of remote file:
- 17.9 MB
- SHA256:
- 2cc1358e9911161103dd99d86737e19f0c3cb4415c2843bdaee0914f83b84bc0
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