Update tiny models for VitPoseBackbone

config.json

@@ -0,0 +1,41 @@
+{
+  "architectures": [
+    "VitPoseBackbone"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": [
+    128,
+    96
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-12,
+  "mlp_ratio": 4,
+  "model_type": "vitpose_backbone",
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_experts": 1,
+  "num_hidden_layers": 2,
+  "out_features": [
+    "stage2"
+  ],
+  "out_indices": [
+    2
+  ],
+  "part_features": 256,
+  "patch_size": [
+    8,
+    8
+  ],
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2"
+  ],
+  "transformers_version": "5.16.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27230a1035c6bbc496ea0c8f3d3fdd7eda47a7be6bb79257d0b1cdf25299938f
+size 155088

preprocessor_config.json

@@ -0,0 +1,38 @@
+{
+  "crop_size": {
+    "height": [
+      128,
+      96
+    ],
+    "width": [
+      128,
+      96
+    ]
+  },
+  "do_affine_transform": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "VitPoseImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "normalize_factor": 200.0,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": [
+      128,
+      96
+    ],
+    "width": [
+      128,
+      96
+    ]
+  }
+}