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:
- 77aa42f4d991c48e985feaa5c57d581f3c572b2506f974fb8a17656a5488edb5
- Size of remote file:
- 11.2 MB
- SHA256:
- 1afbbbdaa800bc1886e3a5d749041cf84a792411bd285ea248f08b35df61bb67
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