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{
  "architectures": [
    "ConvBilinear"
  ],
  "conv_channels": [
    8,
    8,
    8
  ],
  "conv_kernel_size": [
    5,
    5,
    5
  ],
  "conv_padding": [
    "same",
    "same",
    "same"
  ],
  "conv_stride": [
    1,
    1,
    1
  ],
  "hidden_ch": 16,
  "hidden_kernel": 5,
  "image_size": [
    32,
    48
  ],
  "model_type": "convbilinear",
  "num_channels": 1,
  "num_layers": 4,
  "torch_dtype": "float32",
  "transformers_version": "4.30.0",
  "upscale": 5
}