Instructions to use J1gA/EfficientNetB4_zernike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use J1gA/EfficientNetB4_zernike with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("J1gA/EfficientNetB4_zernike") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- .gitattributes +1 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +3 -0
- variables/variables.index +0 -0
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