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:
- 1df3bcdb249549fa8949315406f92d72caf50ec3e40a8150f84b97c15a0a47a9
- Size of remote file:
- 481 kB
- SHA256:
- 1a63b83baf02b5af403bc7e1d054d5598b90f4b24527e0229ccdd9af0c8a4e7e
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