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:
- 1c8d199f9f37337c7e2382f943631f8c9eb26f40684dc7f4b56152b48e472e74
- Size of remote file:
- 3.36 MB
- SHA256:
- 747c9c65c39a06e3c9dde45270846e8f1b283b8e27d9595c073d40756ca5f562
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