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:
- dc0b8c9bac189fdf2d528a535c5f4f170152dfe53a8eb4209759aaf8935f3df9
- Size of remote file:
- 947 MB
- SHA256:
- 51c29075018d64eb9fdf5cb75f6adbfc379d91b2a440529c543ae605a0881a0f
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