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:
- 87dba14bbd883320cbcc7d1aa0cae787d80b567e7f57604ed4e0742b72d76cc2
- Size of remote file:
- 7.51 MB
- SHA256:
- db7504ca3ecf6ee3f289d258ad88237f48c15129f1cfa74022edf4d8d969f8d8
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