Instructions to use jmp684/CornetAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use jmp684/CornetAI 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("jmp684/CornetAI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdfc3e7086468e24bfe4a3ff1c05777b60baff83e649d8a47ab221ceeee7bd2b
- Size of remote file:
- 784 kB
- SHA256:
- 517731222471a9be9a9e7ee66f3d1946efc32fb948da6aa199490fdc5e2f049c
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