Update tiny models for DabDetrForObjectDetection

config.json

@@ -0,0 +1,278 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "prelu",
+  "architectures": [
+    "DabDetrForObjectDetection"
+  ],
+  "attention_dropout": 0.1,
+  "auxiliary_loss": false,
+  "backbone": null,
+  "backbone_config": {
+    "depths": [
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+      1,
+      2,
+      1
+    ],
+    "downsample_in_bottleneck": false,
+    "downsample_in_first_stage": false,
+    "embedding_size": 64,
+    "embeddings_size": 10,
+    "hidden_act": "relu",
+    "hidden_sizes": [
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+      20,
+      30,
+      40
+    ],
+    "id2label": {
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+      "1": "LABEL_1",
+      "2": "LABEL_2"
+    },
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+    },
+    "layer_type": "bottleneck",
+    "model_type": "resnet",
+    "num_channels": 3,
+    "out_features": [
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      2,
+      3,
+      4
+    ],
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ]
+  },
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+  "class_cost": 2,
+  "cls_loss_coefficient": 2,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 4,
+  "decoder_layers": 2,
+  "dilation": false,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 4,
+  "encoder_layers": 2,
+  "focal_alpha": 0.25,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "hidden_size": 32,
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+  "keep_query_pos": false,
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+  "model_type": "dab-detr",
+  "normalize_before": false,
+  "num_patterns": 0,
+  "num_queries": 12,
+  "query_dim": 4,
+  "random_refpoints_xy": false,
+  "sine_position_embedding_scale": null,
+  "temperature_height": 20,
+  "temperature_width": 20,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.16.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe47204920ae1dcd70ea767601ac51c778f60c913e8c2a925098409c7a8d131d
+size 306832

preprocessor_config.json

@@ -0,0 +1,25 @@
+{
+  "do_convert_annotations": true,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConditionalDetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1333,
+    "shortest_edge": 800
+  }
+}