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# bcic_iv_4_ecog_cropped

Pretrained artifacts for the Braindecode tutorial `examples/advanced_training/bcic_iv_4_ecog_cropped.py`.

These files are meant to be loaded by the tutorial so the docs can show stable predictions without retraining the model from scratch.

## Stored files

- `params.safetensors`: classifier parameters
- `history.json`: Skorch training history used by the tutorial plots
- `metadata.json`: summary metrics for the stored checkpoint