Instructions to use keras-io/imbalanced_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/imbalanced_classification 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("keras-io/imbalanced_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19ad12ab731917acebbfed8b3f4d07f50399e304738dc38af8b128973542537b
- Size of remote file:
- 110 kB
- SHA256:
- 7597c9a679c648001d68650de44949cd3b0923031e19aa4c32838fb9141da324
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.