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:
- 6f22a434ecf0bd5f577a6abecaf4edeee318f4648768b27e045307332dd0b152
- Size of remote file:
- 5.65 MB
- SHA256:
- ffab6d54f44180fe0d8b694f880e2d6895f9189affebc66e33ca4c1208b4dcf3
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