Instructions to use nanocu/KPDIS-1E10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nanocu/KPDIS-1E10 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nanocu/KPDIS-1E10") - Notebooks
- Google Colab
- Kaggle
KPDIS-1E10
K Plant Disease Detection 1 Epoch 10
38 diffrent diseased/healthy types of plant photos used
Device used: 8XLarge - 32 cores - 256 GB RAM - 100Gi Disk
Provider: Saturn Cloud
5 Epoch first training (KPDIS-1E5) + 5 Epoch second training
Accuracy Last 5 Epoch 1E10
Loss Last 5 Epoch 1E10
Evaluation
- Downloads last month
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