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vit-model-test
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{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "bedroom",
    "1": "coast",
    "2": "forest",
    "3": "highway",
    "4": "industrial",
    "5": "insidecity",
    "6": "kitchen",
    "7": "livingroom",
    "8": "mountain",
    "9": "office",
    "10": "opencountry",
    "11": "store",
    "12": "street",
    "13": "suburb",
    "14": "tallbuilding"
  },
  "label2id": {
    "bedroom": 0,
    "coast": 1,
    "forest": 2,
    "highway": 3,
    "industrial": 4,
    "insidecity": 5,
    "kitchen": 6,
    "livingroom": 7,
    "mountain": 8,
    "office": 9,
    "opencountry": 10,
    "store": 11,
    "street": 12,
    "suburb": 13,
    "tallbuilding": 14
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.46.2"
}