config.json

{
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "dtype": "float32",
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "Atelectasis",
    "1": "Cardiomegaly",
    "2": "Consolidation",
    "3": "Edema",
    "4": "Effusion",
    "5": "Emphysema",
    "6": "Fibrosis",
    "7": "Hernia",
    "8": "Infiltration",
    "9": "Mass",
    "10": "No Finding",
    "11": "Nodule",
    "12": "Pleural_Thickening",
    "13": "Pneumonia",
    "14": "Pneumothorax"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Atelectasis": 0,
    "Cardiomegaly": 1,
    "Consolidation": 2,
    "Edema": 3,
    "Effusion": 4,
    "Emphysema": 5,
    "Fibrosis": 6,
    "Hernia": 7,
    "Infiltration": 8,
    "Mass": 9,
    "No Finding": 10,
    "Nodule": 11,
    "Pleural_Thickening": 12,
    "Pneumonia": 13,
    "Pneumothorax": 14
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "pooler_act": "tanh",
  "pooler_output_size": 768,
  "qkv_bias": true,
  "transformers_version": "5.0.0",
  "use_cache": false
}