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:
- aa64d7c7a20634ae399f8d49006ae999a1cba06daf442f2dbf733088485f2544
- Size of remote file:
- 1.83 MB
- SHA256:
- 2c703827fead93dab4999927f64da9109236f7015a576a8fcc0adc3855b3f06a
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