upload models

models/Layout/config.json

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+{
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+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.5",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 250002
+}

models/Layout/model_final.pth

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+size 564052519

models/MFD/weights.pt

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models/MFR/UniMERNet/README.md

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+---
+license: apache-2.0
+---
+UniMERNet: A Universal Network for Mathematical Expression Recognition in Real-World Scenarios. 
+
+Visit our GitHub repository at [unimernet](https://github.com/opendatalab/unimernet) for more information. 

models/MFR/UniMERNet/config.json

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+{
+  "_name_or_path": "unimernet/checkpoint-180000",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
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+    "temperature": 1.0,
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+    "top_k": 50,
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+    "use_absolute_embeddings": false,
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+    "window_size": 5
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+  "is_encoder_decoder": true,
+  "model_type": "vision-encoder-decoder",
+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0"
+}

models/MFR/UniMERNet/preprocessor_config.json

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+{
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+  "do_normalize": false,
+  "do_pad": false,
+  "do_rescale": false,
+  "do_resize": false,
+  "do_thumbnail": false,
+  "feature_extractor_type": "DonutFeatureExtractor",
+  "image_mean": [
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+    0.456,
+    0.406
+  ],
+  "image_processor_type": "VariableDonutImageProcessor",
+  "image_std": [
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+    0.224,
+    0.225
+  ],
+  "max_size": {
+    "height": 192,
+    "width": 672
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+  "patch_size": [
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+    4
+  ],
+  "processor_class": "VariableDonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
+    192,
+    672
+  ],
+  "train": false
+}

models/MFR/UniMERNet/pytorch_model.bin

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models/MFR/UniMERNet/tokenizer_config.json

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+}

models/README.md

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+Put [model files]() here:
+
+```
+./
+├── Layout
+│   ├── config.json
+│   └── weights.pth
+├── MFD
+│   └── weights.pt
+├── MFR
+│   └── UniMERNet
+│       ├── config.json
+│       ├── preprocessor_config.json
+│       ├── pytorch_model.bin
+│       ├── README.md
+│       ├── tokenizer_config.json
+│       └── tokenizer.json
+└── README.md
+```