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{
"_name_or_path": "microsoft/resnet-18",
"architectures": [
"CifNetForImageClassification"
],
"embedding_kwargs": {
"__comment": "First hidden layer size",
"embedding_size": 32,
"embedding_kernel_size_1": 7,
"embedding_kernel_size_2": 2,
"embedding_stride_1": 2,
"embedding_stride_2": 2
},
"depths": [
1,
2,
4,
3
],
"activation": "silu",
"hidden_sizes": [
64,
64,
128,
256
],
"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,
"torch_dtype": "float32",
"transformers_version": "4.38.2"
} |