Image Classification
Keras
English
agriscan
agriculture
plant-disease
crop-classification
efficientnet
efficientnetb0
tensorflow
plantvillage
Instructions to use Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training") - Notebooks
- Google Colab
- Kaggle
Download crop_names.json from Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training: direct link, hf CLI and curl.
- Browser
- Download file 37 Bytes
-
https://huggingface.co/Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/resolve/main/crop_names.json
- Command line
-
hf download hf://Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/crop_names.json
-
curl -L -o crop_names.json https://huggingface.co/Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/resolve/main/crop_names.json
37 Bytes
| [ | |
| "Maize", | |
| "Potato", | |
| "Tomato" | |
| ] |