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config.json

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+{
+  "_name_or_path": "openmmlab/upernet-swin-tiny",
+  "architectures": [
+    "UperNetForSemanticSegmentation"
+  ],
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_in_channels": 384,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "backbone": null,
+  "backbone_config": {
+    "attention_probs_dropout_prob": 0.0,
+    "depths": [
+      2,
+      2,
+      6,
+      2
+    ],
+    "drop_path_rate": 0.1,
+    "embed_dim": 96,
+    "encoder_stride": 32,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "image_size": 224,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-05,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
+    "num_heads": [
+      3,
+      6,
+      12,
+      24
+    ],
+    "num_layers": 4,
+    "out_features": [
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ],
+    "patch_size": 4,
+    "path_norm": true,
+    "qkv_bias": true,
+    "use_absolute_embeddings": false,
+    "window_size": 7
+  },
+  "backbone_kwargs": null,
+  "hidden_size": 512,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "loss_ignore_index": 255,
+  "model_type": "upernet",
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_auxiliary_head": true,
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": false
+}

model.safetensors

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+size 239645424

model_150.pth

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+size 239733754

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

training_args.bin

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+size 5176