Instructions to use niobures/DTLN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use niobures/DTLN 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("niobures/DTLN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b51429a465dff4e5b6749d5d0a14f8591c814f05b1c11b1893256bb10b0dc36a
- Size of remote file:
- 517 MB
- SHA256:
- 5f66aef7a59aeeabed18e8705a247ed215d29b8f024762949e3e3e31dc2c41fd
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