Instructions to use eligapris/maize-diseases-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use eligapris/maize-diseases-detection with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("eligapris/maize-diseases-detection") - Notebooks
- Google Colab
- Kaggle
Download classes.json from eligapris/maize-diseases-detection: direct link, hf CLI and curl.
- Browser
- Download file 66 Bytes
-
https://huggingface.co/eligapris/maize-diseases-detection/resolve/main/classes.json
- Command line
-
hf download hf://eligapris/maize-diseases-detection/classes.json
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curl -L -o classes.json https://huggingface.co/eligapris/maize-diseases-detection/resolve/main/classes.json
66 Bytes
| {"Healthy": 0, "Gray_Leaf_Spot": 1, "Blight": 2, "Common_Rust": 3} |