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KDRSSC_ViT2MobileViT-xx-small

Image Classification
Transformers
Safetensors
mobilevit
Generated from Trainer
Inference Endpoints
Model card Files Community
KDRSSC_ViT2MobileViT-xx-small
File size: 2,804 Bytes 
725174a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "apple/mobilevit-xx-small",
  "architectures": [
    "MobileViTForImageClassification"
  ],
  "aspp_dropout_prob": 0.1,
  "aspp_out_channels": 256,
  "atrous_rates": [
    6,
    12,
    18
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "conv_kernel_size": 3,
  "expand_ratio": 2.0,
  "hidden_act": "silu",
  "hidden_dropout_prob": 0.05,
  "hidden_sizes": [
    64,
    80,
    96
  ],
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15",
    "16": "LABEL_16",
    "17": "LABEL_17",
    "18": "LABEL_18",
    "19": "LABEL_19",
    "20": "LABEL_20",
    "21": "LABEL_21",
    "22": "LABEL_22",
    "23": "LABEL_23",
    "24": "LABEL_24",
    "25": "LABEL_25",
    "26": "LABEL_26",
    "27": "LABEL_27",
    "28": "LABEL_28",
    "29": "LABEL_29",
    "30": "LABEL_30",
    "31": "LABEL_31",
    "32": "LABEL_32",
    "33": "LABEL_33",
    "34": "LABEL_34",
    "35": "LABEL_35",
    "36": "LABEL_36",
    "37": "LABEL_37",
    "38": "LABEL_38",
    "39": "LABEL_39",
    "40": "LABEL_40",
    "41": "LABEL_41",
    "42": "LABEL_42",
    "43": "LABEL_43",
    "44": "LABEL_44"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
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    "LABEL_2": 2,
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    "LABEL_3": 3,
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    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 2.0,
  "model_type": "mobilevit",
  "neck_hidden_sizes": [
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    16,
    24,
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    64,
    80,
    320
  ],
  "num_attention_heads": 4,
  "num_channels": 3,
  "output_stride": 32,
  "patch_size": 2,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.44.2"
}