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:
- 5ab182a02a2b214c5cf29979670febac1a1692ecd23a59e1490cc7d175ffa7a2
- Size of remote file:
- 890 MB
- SHA256:
- f35133e6ff7ce37f27c97f56534a32a86b960c491d51974c359a62aecdfec306
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