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jimjakdiend
/
centadv1test

Image Classification
Transformers
PyTorch
vit
Inference Endpoints
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centadv1test
File size: 1,490 Bytes 
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{
  "_name_or_path": "jimjakdiend/centadv1test",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "01turquoise",
    "1": "02bluethick",
    "2": "03whitethin",
    "3": "04yellow",
    "4": "05brown",
    "5": "06red",
    "6": "07black",
    "7": "08darkbrown",
    "8": "09bluecircle",
    "9": "10bluethin",
    "10": "11blackcircle",
    "11": "12green",
    "12": "13whitethick",
    "13": "14defblack",
    "14": "15defwhitethin",
    "15": "16defgreen",
    "16": "17defred",
    "17": "18defbluethin"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "01turquoise": "0",
    "02bluethick": "1",
    "03whitethin": "2",
    "04yellow": "3",
    "05brown": "4",
    "06red": "5",
    "07black": "6",
    "08darkbrown": "7",
    "09bluecircle": "8",
    "10bluethin": "9",
    "11blackcircle": "10",
    "12green": "11",
    "13whitethick": "12",
    "14defblack": "13",
    "15defwhitethin": "14",
    "16defgreen": "15",
    "17defred": "16",
    "18defbluethin": "17"
  },
  "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": "4.34.1"
}