File size: 1,409 Bytes
1e381e7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
{
"_name_or_path": "microsoft/resnet-50",
"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": "letter",
"1": "form",
"2": "email",
"3": "handwritten",
"4": "advertisement",
"5": "scientific_report",
"6": "scientific_publication",
"7": "specification",
"8": "file_folder",
"9": "news_article",
"10": "budget",
"11": "invoice",
"12": "presentation",
"13": "questionnaire",
"14": "resume",
"15": "memo"
},
"label2id": {
"advertisement": 4,
"budget": 10,
"email": 2,
"file_folder": 8,
"form": 1,
"handwritten": 3,
"invoice": 11,
"letter": 0,
"memo": 15,
"news_article": 9,
"presentation": 12,
"questionnaire": 13,
"resume": 14,
"scientific_publication": 6,
"scientific_report": 5,
"specification": 7
},
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.33.3"
}
|