vit-base-beans / preprocessor_config.json
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{
"architecture": "resnet18",
"data_config": {
"crop_mode": "center",
"crop_pct": 0.95,
"input_size": [
3,
224,
224
],
"interpolation": "bicubic",
"mean": [
0.485,
0.456,
0.406
],
"std": [
0.229,
0.224,
0.225
]
},
"image_processor_type": "TimmWrapperImageProcessor",
"num_classes": 1000,
"num_features": 512,
"pretrained_cfg": {
"classifier": "fc",
"crop_mode": "center",
"crop_pct": 0.95,
"custom_load": false,
"first_conv": "conv1",
"fixed_input_size": false,
"input_size": [
3,
224,
224
],
"interpolation": "bicubic",
"mean": [
0.485,
0.456,
0.406
],
"num_classes": 1000,
"origin_url": "https://github.com/huggingface/pytorch-image-models",
"paper_ids": "arXiv:2110.00476",
"pool_size": [
7,
7
],
"std": [
0.229,
0.224,
0.225
],
"tag": "a1_in1k",
"test_crop_pct": 1.0,
"test_input_size": [
3,
288,
288
]
}
}