Instructions to use keras-io/bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/bit 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/bit") - Notebooks
- Google Colab
- Kaggle
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library_name: keras
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## Model description
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This repo contains the model
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Full credits go to [Sayan Nath](https://twitter.com/sayannath2350)
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library_name: keras
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## Model description
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This repo contains the model for the notebook [Image Classification using BigTransfer (BiT)](https://keras.io/examples/vision/bit/).
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Full credits go to [Sayan Nath](https://twitter.com/sayannath2350)
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