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Image Classification timm PyTorch
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some-timm-model
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{
  "num_classes": 37,
  "input_size": [
    3,
    224,
    224
  ],
  "pool_size": [
    7,
    7
  ],
  "crop_pct": 0.95,
  "interpolation": "bicubic",
  "mean": [
    0.485,
    0.456,
    0.406
  ],
  "std": [
    0.229,
    0.224,
    0.225
  ],
  "first_conv": "conv1",
  "classifier": "fc",
  "url": "https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet50_a1_0-14fe96d1.pth",
  "architecture": "resnet50",
  "num_features": 2048,
  "labels": [
    "LABEL_0",
    "LABEL_1",
    "LABEL_2",
    "LABEL_3",
    "LABEL_4",
    "LABEL_5",
    "LABEL_6",
    "LABEL_7",
    "LABEL_8",
    "LABEL_9",
    "LABEL_10",
    "LABEL_11",
    "LABEL_12",
    "LABEL_13",
    "LABEL_14",
    "LABEL_15",
    "LABEL_16",
    "LABEL_17",
    "LABEL_18",
    "LABEL_19",
    "LABEL_20",
    "LABEL_21",
    "LABEL_22",
    "LABEL_23",
    "LABEL_24",
    "LABEL_25",
    "LABEL_26",
    "LABEL_27",
    "LABEL_28",
    "LABEL_29",
    "LABEL_30",
    "LABEL_31",
    "LABEL_32",
    "LABEL_33",
    "LABEL_34",
    "LABEL_35",
    "LABEL_36"
  ],
  "hf_hub": "nateraw/resnet50-oxford-iiit-pet"
}