{ | |
"_name_or_path": "microsoft/resnet-50", | |
"architectures": [ | |
"ResNetForImageClassification" | |
], | |
"depths": [ | |
3, | |
4, | |
6, | |
3 | |
], | |
"downsample_in_bottleneck": false, | |
"downsample_in_first_stage": false, | |
"embedding_size": 64, | |
"hidden_act": "relu", | |
"hidden_sizes": [ | |
256, | |
512, | |
1024, | |
2048 | |
], | |
"id2label": { | |
"0": "Audemars Piguet", | |
"1": "Breguet", | |
"2": "Breitling", | |
"3": "Maurice Lacroix", | |
"4": "Omega", | |
"5": "Patek Philippe", | |
"6": "Rado", | |
"7": "Rolex", | |
"8": "Tissot", | |
"9": "Vacheron Constantin" | |
}, | |
"label2id": { | |
"Audemars Piguet": 0, | |
"Breguet": 1, | |
"Breitling": 2, | |
"Maurice Lacroix": 3, | |
"Omega": 4, | |
"Patek Philippe": 5, | |
"Rado": 6, | |
"Rolex": 7, | |
"Tissot": 8, | |
"Vacheron Constantin": 9 | |
}, | |
"layer_type": "bottleneck", | |
"model_type": "resnet", | |
"num_channels": 3, | |
"out_features": [ | |
"stage4" | |
], | |
"out_indices": [ | |
4 | |
], | |
"problem_type": "single_label_classification", | |
"stage_names": [ | |
"stem", | |
"stage1", | |
"stage2", | |
"stage3", | |
"stage4" | |
], | |
"torch_dtype": "float32", | |
"transformers_version": "4.40.1" | |
} | |