Instructions to use bndgyawali/switch-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use bndgyawali/switch-transformer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://bndgyawali/switch-transformer") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 57e62b23321d11ff3f60329e9db8fcf870b8aeadf1ab0fc0c45e6d51dfdcb17e
- Size of remote file:
- 23.9 kB
- SHA256:
- ee66d745bc38edddad129a6b99faa95b4217d4c4e2359ef97da3349b1de3f411
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