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resnet-50-signal_language

Image Classification
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resnet-50-signal_language
File size: 1,378 Bytes 
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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": "A",
    "1": "B",
    "2": "C",
    "3": "D",
    "4": "E",
    "5": "F",
    "6": "G",
    "7": "H",
    "8": "I",
    "9": "K",
    "10": "L",
    "11": "M",
    "12": "N",
    "13": "O",
    "14": "P",
    "15": "Q",
    "16": "R",
    "17": "S",
    "18": "T",
    "19": "U",
    "20": "V",
    "21": "W",
    "22": "X",
    "23": "Y"
  },
  "label2id": {
    "A": 0,
    "B": 1,
    "C": 2,
    "D": 3,
    "E": 4,
    "F": 5,
    "G": 6,
    "H": 7,
    "I": 8,
    "K": 9,
    "L": 10,
    "M": 11,
    "N": 12,
    "O": 13,
    "P": 14,
    "Q": 15,
    "R": 16,
    "S": 17,
    "T": 18,
    "U": 19,
    "V": 20,
    "W": 21,
    "X": 22,
    "Y": 23
  },
  "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": "4.44.2"
}