# plot_sleep_staging_chambon2018

Pretrained artifacts for the Braindecode tutorial `examples/applied_examples/plot_sleep_staging_chambon2018.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