Instructions to use Vedmani/Transfer_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Vedmani/Transfer_Learning 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("Vedmani/Transfer_Learning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cfbc51f658c1e8a764c963b57b84ba331784234973c808ab9d1db6d678626b5
- Size of remote file:
- 1.09 MB
- SHA256:
- 8e3a7acaa2683444567d6db798bcea4c8288bcd43191661a2d93c07da4ae8ddf
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