Instructions to use reichenbach/switch-transformer-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use reichenbach/switch-transformer-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("reichenbach/switch-transformer-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb3523093a7be2c75182fbef644408fda555f7d93e0a5ccaa0509ca46b792c9
- Size of remote file:
- 72.9 kB
- SHA256:
- b33cce7111c8e7fa11f3a9a7a2c79a7bcab117d4909f1253071b77ccb6b80761
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