Image Classification
TF-Keras
English
computer-vision
agriculture
maize-diseases
agroeye
eligapris
grey
Instructions to use eligapris/agroeye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use eligapris/agroeye with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("eligapris/agroeye") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c717d409cb7ac783157763fca9b7bc7b41c0676e72494bdc23a6b5c765bfede
- Size of remote file:
- 6.45 MB
- SHA256:
- 643a3ac8a4c92c47a2f54bc4561d00c168e7bda725c15315d5b407e2e6a5fa1d
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