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:
- 8982dfc4e9d567978563e36e5041f7112c4f9376e874ec3e6d3c31141af8d16d
- Size of remote file:
- 4.1 MB
- SHA256:
- 8e3912bfbd9ca60a7476391b63d4c3a1141c2c45dddff7220b9d1c46bf6204a7
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