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:
- b29cf3fd1b4ddfaba989af7ab29a9b55639e5217342a5f339b2032d051402521
- Size of remote file:
- 77 Bytes
- SHA256:
- 6c5aa40509aaa6d89be114ce589c0b0b859e3113d8bb03b7185789657e08b640
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