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{
"architectures": [
"MobileNetV2ForImageClassification"
],
"classifier_dropout_prob": 0.8,
"depth_divisible_by": 8,
"depth_multiplier": 1.0,
"expand_ratio": 6.0,
"finegrained_output": true,
"first_layer_is_expansion": true,
"hidden_act": "relu6",
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4
},
"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": "4.36.2"
}
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