Instructions to use isp-uv-es/superIX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use isp-uv-es/superIX 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("isp-uv-es/superIX") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e50b9f3a3e1fe221cc836d28f06ed4846829ccba15a13d410515e6f9b69b21aa
- Size of remote file:
- 867 MB
- SHA256:
- 20d6b69c403dd4d5962a89958d2bc6d92432113021b82cfedc9095e4e9b1faa3
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