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vit-base-patch16-224-in21k-quickdraw

Image Classification
Transformers
Safetensors
vit
Inference Endpoints
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vit-base-patch16-224-in21k-quickdraw
File size: 1,659 Bytes 
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{
  "_name_or_path": "models/model_vit-base-patch16-224-in21k_finetuned",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "airplane",
    "1": "banana",
    "2": "computer",
    "3": "dog",
    "4": "elephant",
    "5": "fish",
    "6": "garden",
    "7": "helmet",
    "8": "ice cream",
    "9": "jail",
    "10": "key",
    "11": "lantern",
    "12": "motorbike",
    "13": "necklace",
    "14": "onion",
    "15": "penguin",
    "16": "raccoon",
    "17": "sandwich",
    "18": "table",
    "19": "underwear",
    "20": "vase",
    "21": "watermelon",
    "22": "yoga",
    "23": "zigzag"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "airplane": 0,
    "banana": 1,
    "computer": 2,
    "dog": 3,
    "elephant": 4,
    "fish": 5,
    "garden": 6,
    "helmet": 7,
    "ice cream": 8,
    "jail": 9,
    "key": 10,
    "lantern": 11,
    "motorbike": 12,
    "necklace": 13,
    "onion": 14,
    "penguin": 15,
    "raccoon": 16,
    "sandwich": 17,
    "table": 18,
    "underwear": 19,
    "vase": 20,
    "watermelon": 21,
    "yoga": 22,
    "zigzag": 23
  },
  "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": "4.40.1"
}