DatasetModel / config.json
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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": "apple_pie",
"1": "falafel",
"2": "french_toast",
"3": "ice_cream",
"4": "ramen",
"5": "sushi",
"6": "tiramisu"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"apple_pie": "0",
"falafel": "1",
"french_toast": "2",
"ice_cream": "3",
"ramen": "4",
"sushi": "5",
"tiramisu": "6"
},
"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": "4.30.2"
}