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:
- 194b01acaa18613c5bf7bee01a194ba2a0bdc7148842a025e1c81e5e334600a0
- Size of remote file:
- 765 kB
- SHA256:
- b010d64a0ab36aba59edecf29c0e9af08af29250e0f4be4e3ba804dc4b5004be
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