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:
- 2453b8f6c0fd20809692ecf4855f186a686d35a3be3cbbba714ca3261512b62e
- Size of remote file:
- 1.15 MB
- SHA256:
- 8c32d470b23153d8ab7a3228b32c5ec7e731ae600225ac09a7766cb64bbe4104
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