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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": "artificial valve",
"1": "catheter",
"2": "foreign body",
"3": "material",
"4": "no artifacts",
"5": "pacemaker",
"6": "prosthesis",
"7": "tube"
},
"label2id": {
"artificial valve": 0,
"catheter": 1,
"foreign body": 2,
"material": 3,
"no artifacts": 4,
"pacemaker": 5,
"prosthesis": 6,
"tube": 7
},
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"out_features": null,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.28.0.dev0"
}
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