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{
"_name_or_path": "google/mobilenet_v2_1.0_224",
"architectures": [
"MobileNetV2ForImageClassification"
],
"classifier_dropout_prob": 0.2,
"depth_divisible_by": 8,
"depth_multiplier": 1.0,
"expand_ratio": 6,
"finegrained_output": true,
"first_layer_is_expansion": true,
"hidden_act": "relu6",
"id2label": {
"0": "beignets",
"1": "bruschetta",
"2": "chicken_wings",
"3": "hamburger",
"4": "pork_chop",
"5": "prime_rib",
"6": "ramen"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"beignets": 0,
"bruschetta": 1,
"chicken_wings": 2,
"hamburger": 3,
"pork_chop": 4,
"prime_rib": 5,
"ramen": 6
},
"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": "4.35.2"
}
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