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:
- a9f4e39996b3c0935d7e4f165c781877c22addd5ccad59a607824282b747e2d4
- Size of remote file:
- 3.91 MB
- SHA256:
- c08af327cf014e63b6c957b7255cf524feb8f1aa31f358c41075c2c1f5fbaa11
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