Instructions to use PPCgroup/SudokuSolver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PPCgroup/SudokuSolver with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://PPCgroup/SudokuSolver") - Notebooks
- Google Colab
- Kaggle
Download model.keras from PPCgroup/SudokuSolver: direct link, hf CLI and curl.
- Browser
- Download file 91.3 MB
-
https://huggingface.co/PPCgroup/SudokuSolver/resolve/main/model.keras
- Command line
-
hf download hf://PPCgroup/SudokuSolver/model.keras
-
curl -L -o model.keras https://huggingface.co/PPCgroup/SudokuSolver/resolve/main/model.keras
91.3 MB
- Xet hash:
- 5e29b4ba7f75a9dcf2540e8994ca88d36d6ca25780dec28b9c1c105f2a5facb5
- Size of remote file:
- 91.3 MB
- SHA256:
- ee6ba6ec61e5b7f2ce86ea38d02381d8cae1f1eeee8f852ec7ef6b256042e4ec
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