Instructions to use SBB/eynollah-tables with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SBB/eynollah-tables with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SBB/eynollah-tables") - Notebooks
- Google Colab
- Kaggle
Commit History
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Change directory structure to leverage from_pretrained_keras functionality
Grosch36eadd1
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Added generic model card (#1)
- Added generic model card (31508e204decf4b3805cadad3e9f7d25d6043d0b) Co-authored-by: Jörg Lehmann <Jrglmn@users.noreply.huggingface.co>c560aa6
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upload saved_model
7c0eb6f -
initial commit
7fc7330