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{
"architectures": [
"SLANetForTableRecognition"
],
"backbone_config": {
"block_configs": [
[
[
3,
16,
16,
1,
false
]
],
[
[
3,
16,
16,
2,
false
],
[
3,
16,
16,
1,
false
]
],
[
[
3,
16,
16,
2,
false
],
[
3,
16,
16,
1,
false
]
],
[
[
3,
16,
16,
2,
false
],
[
5,
16,
16,
1,
false
],
[
5,
16,
16,
1,
false
],
[
5,
16,
16,
1,
false
],
[
5,
16,
16,
1,
false
],
[
5,
16,
16,
1,
false
]
],
[
[
5,
16,
16,
2,
true
],
[
5,
16,
16,
1,
true
]
]
],
"class_expand": 1280,
"depths": [
1,
2,
2,
6,
2
],
"divisor": 8,
"hidden_act": "hardswish",
"hidden_dropout_prob": 0.2,
"model_type": "pp_lcnet",
"out_features": [
"stage2",
"stage3",
"stage4",
"stage5"
],
"out_indices": [
2,
3,
4,
5
],
"reduction": 4,
"scale": 1,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4",
"stage5"
],
"stem_channels": 16,
"stem_stride": 2
},
"csp_kernel_size": 5,
"csp_num_blocks": 1,
"dtype": "float32",
"hidden_act": "hardswish",
"hidden_size": 16,
"max_text_length": 1,
"model_type": "slanet",
"out_channels": 1,
"post_conv_out_channels": 16,
"transformers_version": "5.16.0.dev0"
}