{
  "model_type": "felatab",
  "library_name": "pytorch",
  "arch": "FelaTab",
  "tier": "small",
  "params_millions": 51.56,
  "max_features": 100,
  "max_classes": 10,
  "dim": 512,
  "n_layers": 14,
  "n_heads": 8,
  "head_dim": 64,
  "chunk": 64,
  "ffn_mult": 3,
  "use_landmark": true,
  "n_landmarks": 48,
  "ln_eps": 1e-05,
  "note": "Reads support rows (features plus label) then query rows; returns class probabilities or mean and std error bars."
}