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{
"_name_or_path": "AutoTrain",
"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": "Cat",
"1": "Dog"
},
"label2id": {
"Cat": "0",
"Dog": "1"
},
"layer_type": "bottleneck",
"max_length": 128,
"model_type": "resnet",
"num_channels": 3,
"padding": "max_length",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.22.1"
}
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