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{
"_name_or_path": "microsoft/resnet-50",
"architectures": [
"ResNetForImageClassification"
],
"depths": [
3,
4,
6,
3
],
"downsample_in_first_stage": false,
"embedding_size": 64,
"hidden_act": "relu",
"hidden_sizes": [
256,
512,
1024,
2048
],
"id2label": {
"0": "East Asian",
"1": "Indian",
"2": "Black",
"3": "White",
"4": "Middle Eastern",
"5": "Latino_Hispanic",
"6": "Southeast Asian"
},
"label2id": {
"Black": "2",
"East Asian": "0",
"Indian": "1",
"Latino_Hispanic": "5",
"Middle Eastern": "4",
"Southeast Asian": "6",
"White": "3"
},
"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": "4.34.0"
}
|