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_norm.h5 from PPCgroup/SudokuSolver: direct link, hf CLI and curl.
- Browser
- Download file 121 MB
-
https://huggingface.co/PPCgroup/SudokuSolver/resolve/main/model_norm.h5
- Command line
-
hf download hf://PPCgroup/SudokuSolver/model_norm.h5
-
curl -L -o model_norm.h5 https://huggingface.co/PPCgroup/SudokuSolver/resolve/main/model_norm.h5
121 MB
- Xet hash:
- 762b89db71bdceb994a8f7c92a922496dca396949ca490078f0e22c11c625004
- Size of remote file:
- 121 MB
- SHA256:
- e0bce9d7f8bd9a8976a49956032375d37ce34c60b5f85b65f6dad4b00cd95fae
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