Update tiny models for MobileNetV2ForSemanticSegmentation

config.json

@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "MobileNetV2ForSemanticSegmentation"
+  ],
+  "classifier_dropout_prob": 0.1,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 0.25,
+  "dtype": "float32",
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "image_size": 32,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "transformers_version": "5.16.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc4740aab5b95589242434d6645f236df3f37153010493bca8e5df08aa4bd71b
+size 1737112

preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "crop_size": {
+    "longest_edge": 32,
+    "shortest_edge": 32
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV2ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 32,
+    "shortest_edge": 32
+  }
+}