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:
- af2100f854b3f3f7afc1ebe4407c127e05650e1a9147ec6ea196a79aacf186d3
- Size of remote file:
- 4.1 MB
- SHA256:
- 0a434a676fa79d9e97d10a31c2a0401bd2fedcddbf2f5d32a6ff627ae596317d
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