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:
- 68e8f15d69764dae2a0f1f7c0f267c9133d78cb980ecb90f8b015cb6d1586840
- Size of remote file:
- 56 Bytes
- SHA256:
- 01c7b9933aaf3ba7ee6ec5d3371478ebeea7a2f89f6e17e1c43ef5288b5de78d
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