Upload tiny models for MobileViTV2Model

config.json

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+{
+  "architectures": [
+    "MobileViTV2Model"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 512,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attn_dropout": 0.0,
+  "base_attn_unit_dims": [
+    128,
+    192,
+    256
+  ],
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "expand_ratio": 2.0,
+  "ffn_dropout": 0.0,
+  "ffn_multiplier": 2,
+  "hidden_act": "swish",
+  "image_size": 64,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "model_type": "mobilevitv2",
+  "n_attn_blocks": [
+    2,
+    4,
+    3
+  ],
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0.dev0",
+  "width_multiplier": 0.25
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 64,
+    "width": 64
+  },
+  "do_center_crop": true,
+  "do_flip_channel_order": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_processor_type": "MobileViTImageProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 64
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bc888211d6a240773d5711020a6f606cc5fd1f1727f8776df09c57685c919073
+size 1257081