Upload tiny models for DPTForDepthEstimation

config.json

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+{
+  "architectures": [
+    "DPTForDepthEstimation"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "auxiliary_loss_weight": 0.4,
+  "backbone_out_indices": [
+    0,
+    1,
+    2,
+    3
+  ],
+  "fusion_hidden_size": 256,
+  "head_in_index": -1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": 32,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-12,
+  "model_type": "dpt",
+  "neck_hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_hidden_layers": 4,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "readout_type": "project",
+  "reassemble_factors": [
+    4,
+    2,
+    1,
+    0.5
+  ],
+  "semantic_classifier_dropout": 0.1,
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.0.dev0",
+  "use_auxiliary_head": true,
+  "use_batch_norm_in_fusion_residual": false
+}

preprocessor_config.json

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+{
+  "crop_size": 32,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "ensure_multiple_of": 1,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "DPTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "keep_aspect_ratio": false,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 32,
+    "width": 32
+  }
+}