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:
- 25c0b650be896d770a78856612c67c07eae32bcc1e1d65f4446d89ab0cfbb766
- Size of remote file:
- 1.59 MB
- SHA256:
- 453a9d3c4d2d9f63dae6415d15d773930baaa525bf2fb002b3a838d06dbd6d9a
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