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
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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The model is using efficientNetB0 for solve classifying trash. There are 2 model including using non classweight and classweight as defined as model 1 and model 2
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## Model Details
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The model is using efficientNetB0 for solve classifying trash. There are 2 model including using non classweight and classweight as defined as model 1 and model 2
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## Model Details
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