Instructions to use tisage/CodeQualityLC100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use tisage/CodeQualityLC100 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("tisage/CodeQualityLC100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7722c567b58b4ec66175cd19ba0d5b8607383067b4d27d18afafe5bb8714ef8
- Size of remote file:
- 7.24 MB
- SHA256:
- c3b56358ab7ba37d4ae1ed05f705159906d6deec7bc253aa790c6d056ece219f
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