Instructions to use riverjiang/lqtsnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use riverjiang/lqtsnet 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("riverjiang/lqtsnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 051a44b2c925ec3a80addc11a484ea24ac3dbbcd1f234bd75215664b18ded04d
- Size of remote file:
- 1.99 MB
- SHA256:
- 1ec4c79daa20d43494accab5953a7ff921b6e774c467a93587c00a87dcafd29f
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