{ | |
"_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": "airplane", | |
"1": "automobile", | |
"2": "bird", | |
"3": "cat", | |
"4": "deer", | |
"5": "dog", | |
"6": "frog", | |
"7": "horse", | |
"8": "ship", | |
"9": "truck" | |
}, | |
"image_size": 224, | |
"initializer_range": 0.02, | |
"label2id": { | |
"airplane": "0", | |
"automobile": "1", | |
"bird": "2", | |
"cat": "3", | |
"deer": "4", | |
"dog": "5", | |
"frog": "6", | |
"horse": "7", | |
"ship": "8", | |
"truck": "9" | |
}, | |
"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" | |
} | |