Update tiny models for MobileViTForImageClassification

config.json

@@ -0,0 +1,45 @@
+{
+  "architectures": [
+    "MobileViTForImageClassification"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 256,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "dtype": "float32",
+  "expand_ratio": 4.0,
+  "hidden_act": "silu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_sizes": [
+    12,
+    16,
+    20
+  ],
+  "image_size": 32,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "mobilevit",
+  "neck_hidden_sizes": [
+    8,
+    8,
+    16,
+    16,
+    32,
+    32,
+    32
+  ],
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "qkv_bias": true,
+  "semantic_loss_ignore_index": 255,
+  "transformers_version": "5.16.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb098fbcbcaf626320cb2864aba18130b049298b29c43927c9444edef67760f0
+size 509536

preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "crop_size": {
+    "longest_edge": 32,
+    "shortest_edge": 32
+  },
+  "do_center_crop": true,
+  "do_flip_channel_order": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 32,
+    "shortest_edge": 32
+  }
+}