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{
"_name_or_path": "AutoTrain",
"architectures": [
"ConvNextForImageClassification"
],
"depths": [
3,
3,
9,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
96,
192,
384,
768
],
"id2label": {
"0": "babydoge_character",
"1": "babydoge_meme"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"babydoge_character": "0",
"babydoge_meme": "1"
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 1e-06,
"max_length": 128,
"model_type": "convnext",
"num_channels": 3,
"num_stages": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"padding": "max_length",
"patch_size": 4,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.28.1"
}
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