config.json

{
  "architectures": [
    "PPLCNetForImageClassification"
  ],
  "block_configs": [
    [
      [
        3,
        16,
        32,
        1,
        false
      ]
    ],
    [
      [
        3,
        32,
        32,
        2,
        false
      ],
      [
        3,
        32,
        32,
        1,
        false
      ]
    ],
    [
      [
        3,
        32,
        32,
        2,
        false
      ],
      [
        3,
        32,
        32,
        1,
        false
      ]
    ],
    [
      [
        3,
        32,
        32,
        2,
        false
      ],
      [
        5,
        32,
        32,
        1,
        false
      ],
      [
        5,
        32,
        32,
        1,
        false
      ],
      [
        5,
        32,
        32,
        1,
        false
      ],
      [
        5,
        32,
        32,
        1,
        false
      ],
      [
        5,
        32,
        32,
        1,
        false
      ]
    ],
    [
      [
        5,
        32,
        32,
        2,
        true
      ],
      [
        5,
        32,
        32,
        1,
        true
      ]
    ]
  ],
  "class_expand": 1280,
  "depths": [
    1,
    2,
    2,
    6,
    2
  ],
  "divisor": 8,
  "dropout_prob": 0.2,
  "dtype": "float32",
  "hidden_act": "hardswish",
  "hidden_dropout_prob": 0.2,
  "id2label": {
    "0": "0",
    "1": "90",
    "2": "180",
    "3": "270"
  },
  "label2id": null,
  "model_type": "pp_lcnet",
  "out_features": [
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    2,
    3,
    4
  ],
  "reduction": 4,
  "scale": 1.0,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4",
    "stage5"
  ],
  "stem_channels": 16,
  "stem_stride": 2,
  "transformers_version": "5.16.0.dev0",
  "use_last_conv": true
}