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LucyintheSky
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model-prediction

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Inference Endpoints
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model-prediction
File size: 1,143 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": "ANNA",
    "1": "BIANCA",
    "10": "MILA",
    "11": "NATASHA",
    "12": "TAILINE",
    "2": "CAT",
    "3": "ELLIE",
    "4": "GABBY",
    "5": "GENEVIVE",
    "6": "JESSICA",
    "7": "KIELE",
    "8": "LISA",
    "9": "MELANIE"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ANNA": "0",
    "BIANCA": "1",
    "CAT": "2",
    "ELLIE": "3",
    "GABBY": "4",
    "GENEVIVE": "5",
    "JESSICA": "6",
    "KIELE": "7",
    "LISA": "8",
    "MELANIE": "9",
    "MILA": "10",
    "NATASHA": "11",
    "TAILINE": "12"
  },
  "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"
}