Upload tiny models for OneFormerForUniversalSegmentation

config.json

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+{
+  "_commit_hash": null,
+  "architectures": [
+    "OneFormerForUniversalSegmentation"
+  ],
+  "backbone_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_probs_dropout_prob": 0.0,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "depths": [
+      1,
+      1,
+      1,
+      1
+    ],
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "drop_path_rate": 0.3,
+    "early_stopping": false,
+    "embed_dim": 96,
+    "encoder_no_repeat_ngram_size": 0,
+    "encoder_stride": 32,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 224,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "mlp_ratio": 4.0,
+    "model_type": "swin",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_heads": [
+      3,
+      6,
+      12,
+      24
+    ],
+    "num_layers": 4,
+    "num_return_sequences": 1,
+    "out_features": [
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 4,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "qkv_bias": true,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.28.0.dev0",
+    "typical_p": 1.0,
+    "use_absolute_embeddings": false,
+    "use_bfloat16": false,
+    "window_size": 7
+  },
+  "class_weight": 2.0,
+  "common_stride": 4,
+  "contrastive_temperature": 0.07,
+  "contrastive_weight": 0.5,
+  "conv_dim": 64,
+  "decoder_layers": 10,
+  "dice_weight": 5.0,
+  "dim_feedforward": 128,
+  "dropout": 0.1,
+  "encoder_feedforward_dim": 64,
+  "encoder_layers": 6,
+  "enforce_input_proj": false,
+  "hidden_dim": 64,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "ignore_value": 255,
+  "importance_sample_ratio": 0.75,
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_training": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "layer_norm_eps": 1e-05,
+  "mask_dim": 64,
+  "mask_weight": 5.0,
+  "max_seq_len": 77,
+  "model_type": "oneformer",
+  "no_object_weight": 0.1,
+  "norm": "GN",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 10,
+  "num_queries": 10,
+  "output_auxiliary_logits": true,
+  "oversample_ratio": 3.0,
+  "pre_norm": false,
+  "query_dec_layers": 2,
+  "strides": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "task_seq_len": 77,
+  "text_encoder_context_length": 77,
+  "text_encoder_n_ctx": 4,
+  "text_encoder_num_layers": 6,
+  "text_encoder_proj_layers": 2,
+  "text_encoder_vocab_size": 99,
+  "text_encoder_width": 64,
+  "torch_dtype": "float32",
+  "train_num_points": 12544,
+  "transformers_version": null,
+  "use_auxiliary_loss": true,
+  "use_task_norm": true
+}

merges.txt

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+#version: 0.2
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preprocessor_config.json

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+{
+  "_max_size": 2048,
+  "class_info_file": "ade20k_panoptic.json",
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "ignore_index": 255,
+  "image_mean": [
+    0.48500001430511475,
+    0.4560000002384186,
+    0.4059999883174896
+  ],
+  "image_processor_type": "OneFormerImageProcessor",
+  "image_std": [
+    0.2290000021457672,
+    0.2239999920129776,
+    0.22499999403953552
+  ],
+  "metadata": {
+    "0": "wall",
+    "1": "building",
+    "10": "cabinet",
+    "100": "poster, posting, placard, notice, bill, card",
+    "101": "stage",
+    "102": "van",
+    "103": "ship",
+    "104": "fountain",
+    "105": "conveyer belt, conveyor belt, conveyer, conveyor, transporter",
+    "106": "canopy",
+    "107": "washer, automatic washer, washing machine",
+    "108": "plaything, toy",
+    "109": "pool",
+    "11": "sidewalk, pavement",
+    "110": "stool",
+    "111": "barrel, cask",
+    "112": "basket, handbasket",
+    "113": "falls",
+    "114": "tent",
+    "115": "bag",
+    "116": "minibike, motorbike",
+    "117": "cradle",
+    "118": "oven",
+    "119": "ball",
+    "12": "person",
+    "120": "food, solid food",
+    "121": "step, stair",
+    "122": "tank, storage tank",
+    "123": "trade name",
+    "124": "microwave",
+    "125": "pot",
+    "126": "animal",
+    "127": "bicycle",
+    "128": "lake",
+    "129": "dishwasher",
+    "13": "earth, ground",
+    "130": "screen",
+    "131": "blanket, cover",
+    "132": "sculpture",
+    "133": "hood, exhaust hood",
+    "134": "sconce",
+    "135": "vase",
+    "136": "traffic light",
+    "137": "tray",
+    "138": "trash can",
+    "139": "fan",
+    "14": "door",
+    "140": "pier",
+    "141": "crt screen",
+    "142": "plate",
+    "143": "monitor",
+    "144": "bulletin board",
+    "145": "shower",
+    "146": "radiator",
+    "147": "glass, drinking glass",
+    "148": "clock",
+    "149": "flag",
+    "15": "table",
+    "16": "mountain, mount",
+    "17": "plant",
+    "18": "curtain",
+    "19": "chair",
+    "2": "sky",
+    "20": "car",
+    "21": "water",
+    "22": "painting, picture",
+    "23": "sofa",
+    "24": "shelf",
+    "25": "house",
+    "26": "sea",
+    "27": "mirror",
+    "28": "rug",
+    "29": "field",
+    "3": "floor",
+    "30": "armchair",
+    "31": "seat",
+    "32": "fence",
+    "33": "desk",
+    "34": "rock, stone",
+    "35": "wardrobe, closet, press",
+    "36": "lamp",
+    "37": "tub",
+    "38": "rail",
+    "39": "cushion",
+    "4": "tree",
+    "40": "base, pedestal, stand",
+    "41": "box",
+    "42": "column, pillar",
+    "43": "signboard, sign",
+    "44": "chest of drawers, chest, bureau, dresser",
+    "45": "counter",
+    "46": "sand",
+    "47": "sink",
+    "48": "skyscraper",
+    "49": "fireplace",
+    "5": "ceiling",
+    "50": "refrigerator, icebox",
+    "51": "grandstand, covered stand",
+    "52": "path",
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