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tiny-random-HGNetV2Backbone

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hgnet_v2
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tiny-random-HGNetV2Backbone
File size: 1,439 Bytes
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{
  "architectures": [
    "HGNetV2Backbone"
  ],
  "depths": [
    1,
    1,
    2,
    1
  ],
  "dtype": "float32",
  "embedding_size": 64,
  "embeddings_size": 10,
  "hidden_act": "relu",
  "hidden_sizes": [
    64,
    128,
    256,
    512
  ],
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "model_type": "hgnet_v2",
  "num_channels": 3,
  "out_features": [
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    2,
    3,
    4
  ],
  "stage_downsample": [
    false,
    true,
    true,
    true
  ],
  "stage_downsample_strides": [
    2,
    2,
    2,
    2
  ],
  "stage_in_channels": [
    16,
    64,
    128,
    256
  ],
  "stage_kernel_size": [
    3,
    3,
    5,
    5
  ],
  "stage_light_block": [
    false,
    false,
    true,
    true
  ],
  "stage_mid_channels": [
    16,
    32,
    64,
    128
  ],
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "stage_num_blocks": [
    1,
    1,
    2,
    1
  ],
  "stage_numb_of_layers": [
    3,
    3,
    3,
    3
  ],
  "stage_out_channels": [
    64,
    128,
    256,
    512
  ],
  "stem_channels": [
    3,
    16,
    16
  ],
  "stem_strides": [
    2,
    1,
    1,
    2,
    1
  ],
  "transformers_version": "5.16.0.dev0",
  "use_learnable_affine_block": false
}