Instructions to use mikejrodd/esca_grapeleaf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mikejrodd/esca_grapeleaf_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://mikejrodd/esca_grapeleaf_classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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precision recall f1-score support
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esca 0.79 0.97 0.87 480
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### Accuracy
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precision recall f1-score support
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esca 0.79 0.97 0.87 480
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healthy 0.99 0.90 0.94 1325
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### Accuracy
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