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 agriscan_efficientnet_disease.keras from Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training: direct link, hf CLI and curl.
- Browser
- Download file 41.8 MB
-
https://huggingface.co/Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/resolve/main/agriscan_efficientnet_disease.keras
- Command line
-
hf download hf://Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/agriscan_efficientnet_disease.keras
-
curl -L -o agriscan_efficientnet_disease.keras https://huggingface.co/Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training/resolve/main/agriscan_efficientnet_disease.keras
41.8 MB
- Xet hash:
- db2a200ad2b510110528ec600be632456385e0b02c199fb717638dee821e54f6
- Size of remote file:
- 41.8 MB
- SHA256:
- adce9b1c6741610c59154010ed0bd6fc2eafde2dde5533b8bfde11a5996ecc32
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