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{
"_name_or_path": "AutoTrain",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Ankle boot",
"1": "Bag",
"2": "Coat",
"3": "Dress",
"4": "Pullover",
"5": "Sandal",
"6": "Shirt",
"7": "Sneaker",
"8": "T - shirt / top",
"9": "Trouser"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Ankle boot": "0",
"Bag": "1",
"Coat": "2",
"Dress": "3",
"Pullover": "4",
"Sandal": "5",
"Shirt": "6",
"Sneaker": "7",
"T - shirt / top": "8",
"Trouser": "9"
},
"layer_norm_eps": 1e-12,
"max_length": 128,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"padding": "max_length",
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.20.0"
}
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