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:
- 7fea724a62cc811103c8b619c3cec6c5e021dcd9ba9c04cdc865e9a403c90ea0
- Size of remote file:
- 787 kB
- SHA256:
- ea1473467334e782f215c0a576dd49aeea22d3be8afed6b93649637236879c3c
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