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README.md
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- `model.weights.h5`: Standalone weights.
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- `config.json`: Model architecture configuration.
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### Using the model in Python
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To use this model for playing chess, use the `ChessAI` wrapper provided in the [official GitHub repository](https://github.com/mateuszgrzyb-pl/searchless-chess). It handles the FEN-to-Tensor encoding and move selection logic.
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- `model.weights.h5`: Standalone weights.
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- `config.json`: Model architecture configuration.
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### Which file to use?
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- Use **`model.keras`** for a quick "plug-and-play" experience, as it contains both the model architecture and the trained weights in one file.
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- Use **`config.json`** and **`model.weights.h5`** if you prefer to build the model structure manually in your code and load only the parameters (e.g., for custom fine-tuning).
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### Using the model in Python
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To use this model for playing chess, use the `ChessAI` wrapper provided in the [official GitHub repository](https://github.com/mateuszgrzyb-pl/searchless-chess). It handles the FEN-to-Tensor encoding and move selection logic.
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