Upload tiny models for ConditionalDetrModel

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "ConditionalDetrModel"
+  ],
+  "attention_dropout": 0.1,
+  "auxiliary_loss": false,
+  "backbone": "resnet50",
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 2,
+  "cls_loss_coefficient": 2,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 4,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 2,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 4,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 2,
+  "focal_alpha": 0.25,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
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+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "conditional_detr",
+  "num_channels": 3,
+  "num_hidden_layers": 2,
+  "num_queries": 12,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.0.dev0",
+  "use_pretrained_backbone": true
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConditionalDetrFeatureExtractor",
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "max_size": 1333,
+  "size": 800
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bc3107da1f378ec5becedde9e29703ef61f8a3028b699794a6a1a4d9943aa08e
+size 106016333