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{
"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": "Melanoma",
"1": "Melanocytic nevus",
"2": "Basal cell carcinoma",
"3": "Actinic keratosis",
"4": "Benign keratosis",
"5": "Dermatofibroma",
"6": "Vascular lesion",
"7": "Squamous cell carcinoma"
},
"label2id": {
"Actinic keratosis": "3",
"Basal cell carcinoma": "2",
"Benign keratosis": "4",
"Dermatofibroma": "5",
"Melanocytic nevus": "1",
"Melanoma": "0",
"Squamous cell carcinoma": "7",
"Vascular lesion": "6"
},
"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": "4.36.2"
}