convnext-nano-15ep / config.json
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{
"_name_or_path": "facebook/convnextv2-nano-22k-384",
"architectures": [
"ConvNextV2ForImageClassification"
],
"depths": [
2,
2,
8,
2
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
80,
160,
320,
640
],
"id2label": {
"0": 0,
"1": 1,
"2": 2,
"3": 3,
"4": 4,
"5": 5,
"6": 6,
"7": 7
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"0": 0,
"1": 1,
"2": 2,
"3": 3,
"4": 4,
"5": 5,
"6": 6,
"7": 7
},
"layer_norm_eps": 1e-12,
"model_type": "convnextv2",
"num_channels": 3,
"num_stages": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.39.3"
}