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:
- 92a46d6fe0c83f617961f00ca3b783345c16c4900b8b4b415d8a169b462bfc22
- Size of remote file:
- 385 kB
- SHA256:
- 8d1e8c360364890d430f7821f599c4d798eb84c3a5ec52ac06660f90f1e0c7ad
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