Upload tiny models for MaskFormerModel

config.json

@@ -0,0 +1,233 @@
+{
+  "_commit_hash": null,
+  "architectures": [
+    "MaskFormerModel"
+  ],
+  "backbone_config": {
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+    "architectures": null,
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+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
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+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
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+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "initializer_range": 0.02,
+    "is_decoder": false,
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+      "LABEL_1": 1
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+    "min_length": 0,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
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+      24
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+    "output_hidden_states": false,
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+    "patch_size": 4,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "qkv_bias": true,
+    "remove_invalid_values": false,
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+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
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+    "torchscript": false,
+    "transformers_version": "4.28.0.dev0",
+    "typical_p": 1.0,
+    "use_absolute_embeddings": false,
+    "use_bfloat16": false,
+    "window_size": 7
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+  "decoder_config": {
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+    "_name_or_path": "",
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+    "activation_function": "relu",
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+    "backbone": "resnet50",
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+    "bbox_cost": 5,
+    "bbox_loss_coefficient": 5,
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+    "giou_cost": 2,
+    "giou_loss_coefficient": 2,
+    "id2label": {
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+      "1": "LABEL_1"
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+    "init_std": 0.02,
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+    "is_decoder": false,
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+    "label2id": {
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+      "LABEL_1": 1
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+    "length_penalty": 1.0,
+    "mask_loss_coefficient": 1,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "detr",
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+    "num_channels": 3,
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+    "num_queries": 10,
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+    "position_embedding_type": "sine",
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+    "pruned_heads": {},
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+    "use_pretrained_backbone": true,
+    "use_timm_backbone": true
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+  "dice_weight": 1.0,
+  "fpn_feature_size": 32,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
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+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
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+  "mask_feature_size": 32,
+  "mask_weight": 20.0,
+  "model_type": "maskformer",
+  "no_object_weight": 0.1,
+  "num_attention_heads": 8,
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "output_auxiliary_logits": null,
+  "torch_dtype": "float32",
+  "transformers_version": null,
+  "use_auxiliary_loss": false
+}

preprocessor_config.json

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+{
+  "_max_size": 2560,
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "MaskFormerFeatureExtractor",
+  "ignore_index": 255,
+  "image_mean": [
+    0.48500001430511475,
+    0.4560000002384186,
+    0.4059999883174896
+  ],
+  "image_processor_type": "MaskFormerImageProcessor",
+  "image_std": [
+    0.2290000021457672,
+    0.2239999920129776,
+    0.22499999403953552
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 2560,
+    "shortest_edge": 640
+  },
+  "size_divisor": 32
+}

pytorch_model.bin

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+size 45758953