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:
- 1c67ca316a849f0ac3258c536e7e874af622778b144fa67d8779c8570999716a
- Size of remote file:
- 7.5 MB
- SHA256:
- 3f63a05ce9ab7e708c79dcbfe59375f785e2448c4564fe867007809001185f34
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