Instructions to use J1gA/EfficientNetB4_zernike_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use J1gA/EfficientNetB4_zernike_v2 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("J1gA/EfficientNetB4_zernike_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f452c5e042581ccc886daf1515fe8d8d6771803e1094539aeb9ab1b63cbf25f
- Size of remote file:
- 12.6 MB
- SHA256:
- c1770110c60feffa07f65f1dc07fc2aa396e5a8b957baa987b4a6a21e7e06a00
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