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Upload TableTransformerForObjectDetection

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  1. config.json +54 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/table-transformer-detection",
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "TableTransformerForObjectDetection"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auxiliary_loss": false,
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+ "backbone": "resnet18",
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+ "backbone_config": null,
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+ "bbox_cost": 5,
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+ "bbox_loss_coefficient": 5,
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+ "ce_loss_coefficient": 1,
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+ "class_cost": 1,
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+ "d_model": 256,
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+ "decoder_attention_heads": 8,
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+ "decoder_ffn_dim": 2048,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "dice_loss_coefficient": 1,
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+ "dilation": false,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 8,
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+ "encoder_ffn_dim": 2048,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_coefficient": 0.4,
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+ "giou_cost": 2,
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+ "giou_loss_coefficient": 2,
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+ "id2label": {
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+ "0": "table",
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+ "1": "table rotated"
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+ },
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+ "init_std": 0.02,
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+ "init_xavier_std": 1.0,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "table": 0,
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+ "table rotated": 1
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+ },
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+ "mask_loss_coefficient": 1,
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+ "max_position_embeddings": 1024,
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+ "model_type": "table-transformer",
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+ "num_channels": 3,
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+ "num_hidden_layers": 6,
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+ "num_queries": 15,
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+ "position_embedding_type": "sine",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.0.dev0",
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+ "use_pretrained_backbone": true,
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+ "use_timm_backbone": true
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7aa8392798cc8e1b7c1310e56866959311b0ccc27fd5860db9979f62657b8ba3
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+ size 115530897