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:
- df6aa545046b4457954e48d4b193a5286ed00951d04788dcf5807e930b7bbb08
- Size of remote file:
- 923 MB
- SHA256:
- 50c13521e311d0373b46118f7baf348141805f93c1dc72ac7c9fa30d57daf5da
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