IlyasMoutawwakil HF staff commited on
Commit
2a1462e
1 Parent(s): bfa029d

Upload folder using huggingface_hub

Browse files
onnx_surya/config.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "vikp/surya_layout",
3
+ "architectures": [
4
+ "SegformerForRegressionMask"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 768,
9
+ "decoder_layer_hidden_size": 192,
10
+ "decoder_upsample_rate": 2,
11
+ "depths": [
12
+ 3,
13
+ 4,
14
+ 9,
15
+ 3
16
+ ],
17
+ "downsampling_rates": [
18
+ 1,
19
+ 4,
20
+ 8,
21
+ 16
22
+ ],
23
+ "drop_path_rate": 0.1,
24
+ "hidden_act": "gelu",
25
+ "hidden_dropout_prob": 0.0,
26
+ "hidden_sizes": [
27
+ 64,
28
+ 128,
29
+ 320,
30
+ 512
31
+ ],
32
+ "id2label": {
33
+ "0": "Blank",
34
+ "1": "Caption",
35
+ "2": "Footnote",
36
+ "3": "Formula",
37
+ "4": "List-item",
38
+ "5": "Page-footer",
39
+ "6": "Page-header",
40
+ "7": "Picture",
41
+ "8": "Section-header",
42
+ "9": "Table",
43
+ "10": "Text",
44
+ "11": "Title"
45
+ },
46
+ "image_size": 224,
47
+ "initializer_range": 0.02,
48
+ "label2id": {
49
+ "Blank": 0,
50
+ "Caption": 1,
51
+ "Footnote": 2,
52
+ "Formula": 3,
53
+ "List-item": 4,
54
+ "Page-footer": 5,
55
+ "Page-header": 6,
56
+ "Picture": 7,
57
+ "Section-header": 8,
58
+ "Table": 9,
59
+ "Text": 10,
60
+ "Title": 11
61
+ },
62
+ "layer_norm_eps": 1e-06,
63
+ "mlp_ratios": [
64
+ 4,
65
+ 4,
66
+ 4,
67
+ 4
68
+ ],
69
+ "model_type": "segformer",
70
+ "num_attention_heads": [
71
+ 1,
72
+ 2,
73
+ 5,
74
+ 8
75
+ ],
76
+ "num_channels": 3,
77
+ "num_encoder_blocks": 4,
78
+ "patch_sizes": [
79
+ 7,
80
+ 3,
81
+ 3,
82
+ 3
83
+ ],
84
+ "reshape_last_stage": true,
85
+ "semantic_loss_ignore_index": -1,
86
+ "sr_ratios": [
87
+ 8,
88
+ 4,
89
+ 2,
90
+ 1
91
+ ],
92
+ "strides": [
93
+ 4,
94
+ 2,
95
+ 2,
96
+ 2
97
+ ],
98
+ "transformers_version": "4.39.3"
99
+ }
onnx_surya/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ef415f65852d4f98dfeae7a8f9118f54f4e1cc31869ffec6d965a3a68219a06
3
+ size 117371218
onnx_surya/ort_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "one_external_file": true,
3
+ "opset": null,
4
+ "optimization": {
5
+ "disable_attention": null,
6
+ "disable_attention_fusion": false,
7
+ "disable_bias_gelu": null,
8
+ "disable_bias_gelu_fusion": false,
9
+ "disable_bias_skip_layer_norm": null,
10
+ "disable_bias_skip_layer_norm_fusion": false,
11
+ "disable_embed_layer_norm": true,
12
+ "disable_embed_layer_norm_fusion": true,
13
+ "disable_gelu": null,
14
+ "disable_gelu_fusion": false,
15
+ "disable_group_norm_fusion": true,
16
+ "disable_layer_norm": null,
17
+ "disable_layer_norm_fusion": false,
18
+ "disable_packed_kv": true,
19
+ "disable_rotary_embeddings": false,
20
+ "disable_shape_inference": true,
21
+ "disable_skip_layer_norm": null,
22
+ "disable_skip_layer_norm_fusion": false,
23
+ "enable_gelu_approximation": false,
24
+ "enable_gemm_fast_gelu_fusion": false,
25
+ "enable_transformers_specific_optimizations": false,
26
+ "fp16": false,
27
+ "no_attention_mask": false,
28
+ "optimization_level": 1,
29
+ "optimize_for_gpu": false,
30
+ "optimize_with_onnxruntime_only": null,
31
+ "use_mask_index": false,
32
+ "use_multi_head_attention": false,
33
+ "use_raw_attention_mask": false
34
+ },
35
+ "optimum_version": "1.20.0.dev0",
36
+ "quantization": {},
37
+ "transformers_version": "4.39.3",
38
+ "use_external_data_format": false
39
+ }
onnx_surya/preprocessor_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "segmentation_maps",
5
+ "do_resize",
6
+ "size",
7
+ "resample",
8
+ "do_rescale",
9
+ "rescale_factor",
10
+ "do_normalize",
11
+ "image_mean",
12
+ "image_std",
13
+ "do_reduce_labels",
14
+ "return_tensors",
15
+ "data_format",
16
+ "input_data_format"
17
+ ],
18
+ "do_normalize": true,
19
+ "do_reduce_labels": true,
20
+ "do_rescale": true,
21
+ "do_resize": true,
22
+ "image_mean": [
23
+ 0.485,
24
+ 0.456,
25
+ 0.406
26
+ ],
27
+ "image_processor_type": "SegformerFeatureExtractor",
28
+ "image_std": [
29
+ 0.229,
30
+ 0.224,
31
+ 0.225
32
+ ],
33
+ "resample": 2,
34
+ "rescale_factor": 0.00392156862745098,
35
+ "size": {
36
+ "height": 1024,
37
+ "width": 1024
38
+ }
39
+ }