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:
- 4640070f3fbc5f2874149361553096be951735b7a0d20e894aafab07397deba3
- Size of remote file:
- 1.31 MB
- SHA256:
- a88803209a458eec86f16cd691d428932efcebb85070c98136f2c4d38ed63519
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