Instructions to use LabradorTransformer/Labrador with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LabradorTransformer/Labrador 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("LabradorTransformer/Labrador") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5630200c61592eb0c7f100c9705e371a224bd9e54d4c2b395ae1da9859e31140
- Size of remote file:
- 180 kB
- SHA256:
- ddb7a849a928d9380dda489a6aa8863b9977ab9ae11f917622e6bfa57f23c8d6
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