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
| { | |
| "labels": [ | |
| "Bercak Daun", | |
| "Daun Sehat", | |
| "Hawar Daun", | |
| "Karat Daun" | |
| ], | |
| "temperature": 0.5302933451259539, | |
| "conf_threshold_high": 0.7, | |
| "conf_threshold_low": 0.45, | |
| "version": "3.0", | |
| "input_size": [ | |
| 224, | |
| 224 | |
| ], | |
| "input_range": [ | |
| 0, | |
| 255 | |
| ], | |
| "preprocessing": "resize_bilinear_224x224_no_normalization", | |
| "architecture": "EfficientNetV2B0 + CBAM + Dense(512)", | |
| "output_type": "logits" | |
| } |