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:
- 48c9d070d52dadb92900941eff0eb36ce64a880f213942377e28c02ae72d8fe4
- Size of remote file:
- 556 kB
- SHA256:
- 4ef8e6f5d8bfbc2a52600593b277bf0d64f601d0d8068d46924447491e60c212
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