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:
- c5fae4fd6a7cbbdbaac371c0f752a2072c973f995ce2fd43d0f7e7b36c0366f0
- Size of remote file:
- 56 Bytes
- SHA256:
- 8cd4e756ba0b6de596380f751ab2528415edf71ef54ea0ef23d50ffd00210675
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