Update tiny models for HGNetV2Backbone

config.json

@@ -0,0 +1,119 @@
+{
+  "architectures": [
+    "HGNetV2Backbone"
+  ],
+  "depths": [
+    1,
+    1,
+    2,
+    1
+  ],
+  "dtype": "float32",
+  "embedding_size": 64,
+  "embeddings_size": 10,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "model_type": "hgnet_v2",
+  "num_channels": 3,
+  "out_features": [
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "out_indices": [
+    2,
+    3,
+    4
+  ],
+  "stage_downsample": [
+    false,
+    true,
+    true,
+    true
+  ],
+  "stage_downsample_strides": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "stage_in_channels": [
+    16,
+    64,
+    128,
+    256
+  ],
+  "stage_kernel_size": [
+    3,
+    3,
+    5,
+    5
+  ],
+  "stage_light_block": [
+    false,
+    false,
+    true,
+    true
+  ],
+  "stage_mid_channels": [
+    16,
+    32,
+    64,
+    128
+  ],
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "stage_num_blocks": [
+    1,
+    1,
+    2,
+    1
+  ],
+  "stage_numb_of_layers": [
+    3,
+    3,
+    3,
+    3
+  ],
+  "stage_out_channels": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "stem_channels": [
+    3,
+    16,
+    16
+  ],
+  "stem_strides": [
+    2,
+    1,
+    1,
+    2,
+    1
+  ],
+  "transformers_version": "5.16.0.dev0",
+  "use_learnable_affine_block": false
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6432a2b04c858ecb48d2e3fadc00c0965c8e2c33bbe556be60a7b6a477c4c44
+size 2740024

preprocessor_config.json

@@ -0,0 +1,25 @@
+{
+  "do_convert_annotations": true,
+  "do_normalize": false,
+  "do_pad": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "RTDetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 640,
+    "width": 640
+  }
+}