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:
- 8286c07e9ffa1fd55194d4253e473928a3f4c8329a23dc72c2d9849d81e31552
- Size of remote file:
- 2.34 MB
- SHA256:
- 6d2fedf12931b54f5e62f9199310b7305ca91ecbdbf4c278cd4ce55dc612dc29
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