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{
"architectures": [
"MobileNetV1ForImageClassification"
],
"classifier_dropout_prob": 0.1,
"depth_multiplier": 0.25,
"hidden_act": "relu6",
"image_size": 32,
"initializer_range": 0.02,
"layer_norm_eps": 0.001,
"min_depth": 8,
"model_type": "mobilenet_v1",
"num_channels": 3,
"tf_padding": true,
"torch_dtype": "float32",
"transformers_version": "4.28.0.dev0"
}
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