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), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("tisage/CodeQualityLC100") - Notebooks
- Google Colab
- Kaggle
Download bert_lc100_regression_fixed.tar.gz from tisage/CodeQualityLC100: direct link, hf CLI and curl.
- Browser
- Download file 233 MB
-
https://huggingface.co/tisage/CodeQualityLC100/resolve/main/bert_lc100_regression_fixed.tar.gz
- Command line
-
hf download hf://tisage/CodeQualityLC100/bert_lc100_regression_fixed.tar.gz
-
curl -L -o bert_lc100_regression_fixed.tar.gz https://huggingface.co/tisage/CodeQualityLC100/resolve/main/bert_lc100_regression_fixed.tar.gz
233 MB
- Xet hash:
- 92b9aab5f0de8e8744796b85419bc3f7cfb586fd5b6e61681ddd08cf683fbf26
- Size of remote file:
- 233 MB
- SHA256:
- 37d41711ebdf901c3fe054120b8ad39423a999357abbe95c554ab2e2edc942f4
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