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) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SBB/eynollah-tables") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ea28f4daabc0944bd5110e91ff5a6d8ceb2ac4b4bc3ada15e6771e25209bcd5
- Size of remote file:
- 4.42 MB
- SHA256:
- 4a061e6559cb7bc2a2dba9a513045747c43d8b11d318265735b8ed992b0b0490
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