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{
"_name_or_path": "google/mobilenet_v2_1.0_224",
"architectures": [
"MobileNetV2ForImageClassification"
],
"classifier_dropout_prob": 0.8,
"depth_divisible_by": 8,
"depth_multiplier": 1.0,
"expand_ratio": 6,
"finegrained_output": true,
"first_layer_is_expansion": true,
"hidden_act": "relu6",
"id2label": {
"0": "T - shirt / top",
"1": "Trouser",
"2": "Pullover",
"3": "Dress",
"4": "Coat",
"5": "Sandal",
"6": "Shirt",
"7": "Sneaker",
"8": "Bag",
"9": "Ankle boot"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"Ankle boot": 9,
"Bag": 8,
"Coat": 4,
"Dress": 3,
"Pullover": 2,
"Sandal": 5,
"Shirt": 6,
"Sneaker": 7,
"T - shirt / top": 0,
"Trouser": 1
},
"layer_norm_eps": 0.001,
"min_depth": 8,
"model_type": "mobilenet_v2",
"num_channels": 3,
"output_stride": 32,
"problem_type": "single_label_classification",
"semantic_loss_ignore_index": 255,
"tf_padding": true,
"torch_dtype": "float32",
"transformers_version": "4.25.1"
}
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