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{
"_name_or_path": "microsoft/resnet-18",
"architectures": [
"CifNetForImageClassification"
],
"depths": [
2,
2,
2,
2
],
"downsample_in_bottleneck": false,
"downsample_in_first_stage": false,
"embedding_size": 64,
"hidden_act": "silu",
"hidden_sizes": [
128,
128,
128,
128
],
"id2label": {
"0": "airplane",
"1": "automobile",
"2": "bird",
"3": "cat",
"4": "deer",
"5": "dog",
"6": "frog",
"7": "horse",
"8": "ship",
"9": "truck"
},
"label2id": {
"airplane": "0",
"automobile": "1",
"bird": "2",
"cat": "3",
"deer": "4",
"dog": "5",
"frog": "6",
"horse": "7",
"ship": "8",
"truck": "9"
},
"layer_type": "basic",
"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": "4.39.2"
}
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