Instructions to use fadhilelrizanda/trashimgclassification-efficientNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use fadhilelrizanda/trashimgclassification-efficientNet 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("fadhilelrizanda/trashimgclassification-efficientNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9469424fc8deaa19417d0a26ea0cfb96e9b9e8c804fa899eed8f31b6a93fa9df
- Size of remote file:
- 57 Bytes
- SHA256:
- 0e4e0d83088895dc7d44d0a74cfa713deadbb6c798bb9d5c66a00eb887fb4664
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