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:
- f21ccf9c4649c9289d805cadc4c3c11b29573c7b395ccf83ce259bc06dc86709
- Size of remote file:
- 7.21 MB
- SHA256:
- 4106e45ac9c2a69bdc5c9f207f87e93f50b596f9da4c866785745533aba17306
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