Instructions to use ToughStone/transnetv2-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ToughStone/transnetv2-weights 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("ToughStone/transnetv2-weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abfa0478e2d4ebcd2aa5b14d3b636a5184b82dac4c9d974e9d55facb34b92463
- Size of remote file:
- 5.93 MB
- SHA256:
- 8ac2a52c5719690d512805b6eaf5ce12097c1d8860b3d9de245dcbbc3100f554
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