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:
- d1bc0a33e51e55caae6167550ca495ff4cb10b00aae86305dba82afaaf2a1b15
- Size of remote file:
- 13.3 MB
- SHA256:
- 6fdf89a76e92c390c8a5a9d0e596151bf6333eb0e74dbbdc955a2bfe53933609
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