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
Upload saved_model.pb with huggingface_hub
Browse files- saved_model.pb +3 -0
saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2e072f81e06cede51376bdf16a3a93761e294ca1311914da0384095544a39d2
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size 2849082
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