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{
  "architectures": [
    "PPOCRV5ServerRecModel"
  ],
  "attention_dropout": 0.0,
  "backbone_config": {
    "arch": "L",
    "depths": [
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    ],
    "embedding_size": 64,
    "freeze_at": 0,
    "freeze_norm": true,
    "freeze_stem_only": true,
    "hidden_act": "relu",
    "hidden_sizes": [
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      16,
      16,
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    ],
    "initializer_range": 0.02,
    "lr_mult_list": [
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      1.0,
      1.0,
      1.0,
      1.0
    ],
    "model_type": "hgnet_v2",
    "num_channels": 3,
    "out_features": [
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      "stage2",
      "stage3",
      "stage4"
    ],
    "out_indices": [
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      2,
      3,
      4
    ],
    "return_idx": [
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      1,
      2,
      3
    ],
    "stage_downsample": [
      true,
      true,
      true,
      true
    ],
    "stage_downsample_strides": [
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        1
      ],
      [
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      ],
      [
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      ],
      [
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      ]
    ],
    "stage_in_channels": [
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      16,
      16,
      16
    ],
    "stage_kernel_size": [
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      5
    ],
    "stage_light_block": [
      false,
      false,
      true,
      true
    ],
    "stage_mid_channels": [
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      16,
      16,
      16
    ],
    "stage_names": [
      "stem",
      "stage1",
      "stage2",
      "stage3",
      "stage4"
    ],
    "stage_num_blocks": [
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      1,
      3,
      1
    ],
    "stage_numb_of_layers": [
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      6,
      6
    ],
    "stage_out_channels": [
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      16,
      16,
      16
    ],
    "stem_channels": [
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      16
    ],
    "stem_strides": [
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      1,
      1,
      1
    ],
    "use_learnable_affine_block": false
  },
  "conv_kernel_size": [
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    3
  ],
  "depth": 2,
  "dtype": "float32",
  "head_out_channels": 18385,
  "hidden_act": "silu",
  "hidden_size": 10,
  "layer_norm_eps": 1e-06,
  "mlp_ratio": 2.0,
  "model_type": "pp_ocrv5_server_rec",
  "num_attention_heads": 2,
  "qkv_bias": true,
  "transformers_version": "5.16.0.dev0"
}