Upload tiny models for SegGptModel

config.json

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+{
+  "architectures": [
+    "SegGptModel"
+  ],
+  "beta": 0.01,
+  "decoder_hidden_size": 10,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": 30,
+  "initializer_range": 0.02,
+  "intermediate_hidden_state_indices": [
+    1
+  ],
+  "layer_norm_eps": 1e-06,
+  "merge_index": 0,
+  "mlp_dim": 128,
+  "mlp_ratio": 2.0,
+  "model_type": "seggpt",
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_hidden_layers": 2,
+  "patch_size": 2,
+  "pretrain_image_size": 10,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.0.dev0",
+  "use_relative_position_embeddings": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9dc2f3dfaddd8c6cc809416a50126fd08279d2ba02b0a574ad1683914401bbd3
+size 114944

preprocessor_config.json

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+{
+  "crop_size": 30,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegGptImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 30,
+    "width": 30
+  }
+}