Upload TableTransformerForObjectDetection

config.json

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+{
+  "_name_or_path": "microsoft/table-transformer-structure-recognition",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "TableTransformerForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet34",
+  "backbone_config": null,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "ce_loss_coefficient": 1,
+  "class_cost": 1,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_coefficient": 0.4,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "table-transformer",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 125,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:51c0a0fc81e400785503ddc7e8674fc5addaa6d07a06666675c24e45d392989b
+size 156160601