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:
- 3408b8bde93167d2ae9813c144bf3fd5496ea7355c79125b5fff313bd93ae286
- Size of remote file:
- 58.8 MB
- SHA256:
- 5d06ac4f3ab6750a602cb01d3497e873b858ee27ebc10373494822a4118bf8f7
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