Instructions to use Legalaz/5GTkz3nzuD7PVeTyPeAg7Ya5GvRaaB3fvshjf7ZEd3dF4CEJ_res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Legalaz/5GTkz3nzuD7PVeTyPeAg7Ya5GvRaaB3fvshjf7ZEd3dF4CEJ_res 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("Legalaz/5GTkz3nzuD7PVeTyPeAg7Ya5GvRaaB3fvshjf7ZEd3dF4CEJ_res") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e59c6f5b586db31092042cac19622c4d9fb0b5c131137f19fd7fc1e922c9ed7
- Size of remote file:
- 120 MB
- SHA256:
- 271cb7902e459c45192e0a0980d467c3ab97cb8e6e83703a56b5461e7ec2bbd5
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