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:
- f3e647283136288c8a313bb9f74b5e59b1ebdc163a93e72993a4668b7fc56d72
- Size of remote file:
- 796 MB
- SHA256:
- 14d89ec2d0f9c150e99c0daefc9671a236c0e251082948a129bc2f70f627d303
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