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:
- 5d440e8c5fe9cf40265cb58b63b0dcb15a2a35a66d76aaa7b00b45b2792401db
- Size of remote file:
- 9.92 kB
- SHA256:
- ebcddff13c90a3885697e7fd44ee3a1f079d0bcdf275477ef86a9cbc65ad227b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.