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:
- e0cda1a973b9466b9bbcef8844eeff1ef6e274905cad3568f010ba6d1a69bd26
- Size of remote file:
- 1.62 MB
- SHA256:
- 7a7661880c11e9acd4e8344f5968d3ae4f29de48198d78e1b84b60f40eb83e4e
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