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:
- 7e44b7f219d4feb1a22febf252bab75e220eed41510dc60c7e5f2fa78b9f0859
- Size of remote file:
- 454 kB
- SHA256:
- 9c241d8c312435047af029db9e464dcd001d8d794bec58b9f08dc6286f492f87
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