Instructions to use MythEclipse2737/zeavis-edu-corn-leaf-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MythEclipse2737/zeavis-edu-corn-leaf-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MythEclipse2737/zeavis-edu-corn-leaf-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a6b59744347abc2a183987d27998feffb982dc70f87714a7e5a3f270e17df6c
- Size of remote file:
- 24.5 kB
- SHA256:
- 68ed095bde8fc8adb3c24cdf88a064ce416508ddd51f3e7f146008f020338f6b
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