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augmented18k_notcleaned_large

Image Classification
Transformers
PyTorch
vit
Inference Endpoints
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augmented18k_notcleaned_large
File size: 915 Bytes 
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{
  "_name_or_path": "google/vit-large-patch16-224-in21k",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "10",
    "1": "100",
    "2": "1000",
    "3": "2",
    "4": "20",
    "5": "200",
    "6": "5",
    "7": "50",
    "8": "500"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "10": 0,
    "100": 1,
    "1000": 2,
    "2": 3,
    "20": 4,
    "200": 5,
    "5": 6,
    "50": 7,
    "500": 8
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 16,
  "num_channels": 3,
  "num_hidden_layers": 24,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.32.1"
}