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pawlo2013
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kimchi-classification

Image Classification
Transformers
PyTorch
vit
Inference Endpoints
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kimchi-classification
File size: 1,096 Bytes 
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{
  "_name_or_path": "google/vit-base-patch16-224-in21k",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "baechu",
    "1": "baik",
    "10": "yeolmoo",
    "2": "boochoo",
    "3": "chongkak",
    "4": "got",
    "5": "kkakdoogi",
    "6": "moosaengchae",
    "7": "nabak",
    "8": "ohyeesobaki",
    "9": "pa"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "baechu": "0",
    "baik": "1",
    "boochoo": "2",
    "chongkak": "3",
    "got": "4",
    "kkakdoogi": "5",
    "moosaengchae": "6",
    "nabak": "7",
    "ohyeesobaki": "8",
    "pa": "9",
    "yeolmoo": "10"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.34.0.dev0"
}