config.json

{
  "model_type": "bendr",
  "n_chans": 20,
  "encoder_h": 512,
  "contextualizer_hidden": 3076,
  "transformer_heads": 8,
  "transformer_layers": 8,
  "position_encoder_length": 25,
  "drop_prob": 0.1,
  "layer_drop": 0.0,
  "start_token": -5,
  "final_layer": true,
  "projection_head": false,
  "enc_width": [
    3,
    2,
    2,
    2,
    2,
    2
  ],
  "enc_downsample": [
    3,
    2,
    2,
    2,
    2,
    2
  ],
  "notes": "Pretrained BENDR model for EEG classification",
  "paper": "https://doi.org/10.3389/fnhum.2021.653659"
}