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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": " Renaissance",
"1": " Surrealism",
"10": " romanticism",
"2": " Unlabeled",
"3": " baroque",
"4": " cubism",
"5": " cubsim",
"6": " minimalist",
"7": " popart",
"8": " realism",
"9": " renaissance"
},
"label2id": {
" Renaissance": "0",
" Surrealism": "1",
" Unlabeled": "2",
" baroque": "3",
" cubism": "4",
" cubsim": "5",
" minimalist": "6",
" popart": "7",
" realism": "8",
" renaissance": "9",
" romanticism": "10"
},
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.31.0"
}
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