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Object Detection
Transformers
PyTorch
deformable_detr
Inference Endpoints
Model card Files Community
t
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{
  "_name_or_path": "Aryn/deformable-detr-DocLayNet",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DeformableDetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet50",
  "backbone_config": null,
  "backbone_kwargs": {
    "in_chans": 3,
    "out_indices": [
      2,
      3,
      4
    ]
  },
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "d_model": 256,
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 1024,
  "decoder_layers": 6,
  "decoder_n_points": 4,
  "dice_loss_coefficient": 1,
  "dilation": false,
  "disable_custom_kernels": false,
  "dropout": 0.1,
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 1024,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "encoder_n_points": 4,
  "eos_coefficient": 0.1,
  "focal_alpha": 0.25,
  "giou_cost": 2,
  "giou_loss_coefficient": 2,
  "id2label": {
    "0": "N/A",
    "1": "Caption",
    "2": "Footnote",
    "3": "Formula",
    "4": "List-item",
    "5": "Page-footer",
    "6": "Page-header",
    "7": "Picture",
    "8": "Section-header",
    "9": "Table",
    "10": "Text",
    "11": "Title"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "Caption": 1,
    "Footnote": 2,
    "Formula": 3,
    "List-item": 4,
    "N/A": 0,
    "Page-footer": 5,
    "Page-header": 6,
    "Picture": 7,
    "Section-header": 8,
    "Table": 9,
    "Text": 10,
    "Title": 11
  },
  "mask_loss_coefficient": 1,
  "max_position_embeddings": 1024,
  "model_type": "deformable_detr",
  "num_channels": 3,
  "num_feature_levels": 4,
  "num_queries": 200,
  "position_embedding_type": "sine",
  "torch_dtype": "float32",
  "transformers_version": "4.45.1",
  "two_stage": true,
  "two_stage_num_proposals": 200,
  "use_pretrained_backbone": true,
  "use_timm_backbone": "SenseTime/deformable-detr-with-box-refine-two-stage",
  "with_box_refine": true
}