{
  "architectures": [
    "TimeSeriesTransformerForPrediction"
  ],
  "model_type": "time_series_transformer",
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  "prediction_length": 24,
  "d_model": 64,
  "num_encoder_layers": 3,
  "num_decoder_layers": 3,
  "nhead": 4,
  "dim_feedforward": 256,
  "dropout": 0.1,
  "activation": "gelu",
  "input_size": 12,
  "lags_sequence": [1, 2, 3, 4, 5, 6, 7],
  "scaling": "mean",
  "distribution_output": "student_t",
  "torch_dtype": "float32",
  "transformers_version": "4.37.0"
}