Instructions to use nev/taef1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use nev/taef1 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("nev/taef1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 565967b8a4a6b1d417b932677af0c8c6eedfd911b5282d47f2f53f13c51dc5d4
- Size of remote file:
- 5.12 MB
- SHA256:
- d6310937c8c13a5140ced54645dc818a998e5fd961528903714a9954237ff854
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