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:
- f993b1e195eac413e44846be99b1624f4a6b98f65714a8039e3445d1fce6ff1f
- Size of remote file:
- 292 MB
- SHA256:
- e53c55590b3feca0fa84ec2b32983202de65316df8438c37247e22491d8fc8b5
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