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:
- cbc83a89cad62cd07d02e3c4eeeecf772dfa8e4f5f34e8b278cd6a7adf645cba
- Size of remote file:
- 2.85 MB
- SHA256:
- d2e072f81e06cede51376bdf16a3a93761e294ca1311914da0384095544a39d2
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