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:
- 67892efaee836f415e2cab87d5fec06564acbe1f5cb2371c65fdfec14aa55dd2
- Size of remote file:
- 815 MB
- SHA256:
- 9fb22482079fc4e508333715d5e2a13b1a74ec6e1f69696b804ebd5ed396b3ad
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