Image-to-Text
Transformers
Safetensors
Turkish
lighton_ocr
image-text-to-text
ocr
document-understanding
turkish
enterprise
vision-language
werea
Instructions to use Werea-co/Werea-DocOCR-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Werea-co/Werea-DocOCR-1B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Werea-co/Werea-DocOCR-1B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Werea-co/Werea-DocOCR-1B") model = AutoModelForMultimodalLM.from_pretrained("Werea-co/Werea-DocOCR-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Werea-DocOCR-1B: Turkish enterprise document OCR (LightOnOCR-2-1B-base SFT)
Browse files- .gitattributes +1 -0
- chat_template.jinja +26 -0
- config.json +98 -0
- evaluation.json +60 -0
- generation_config.json +13 -0
- model.safetensors +3 -0
- processor_config.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +28 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}
|
| 2 |
+
{% for message in messages %}
|
| 3 |
+
{% if loop.first and message['role'] != 'system' %}
|
| 4 |
+
<|im_start|>system<|im_end|>
|
| 5 |
+
{% endif %}
|
| 6 |
+
<|im_start|>{{ message['role'] }}
|
| 7 |
+
{% if message['content'] is string %}
|
| 8 |
+
{{ message['content'] }}<|im_end|>
|
| 9 |
+
{% else %}
|
| 10 |
+
{% for content in message['content'] %}
|
| 11 |
+
{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}
|
| 12 |
+
{% set image_count.value = image_count.value + 1 %}
|
| 13 |
+
{% if add_vision_id %}
|
| 14 |
+
Picture {{ image_count.value }}:
|
| 15 |
+
{% endif -%}
|
| 16 |
+
<|image_pad|>
|
| 17 |
+
{%- elif 'text' in content %}
|
| 18 |
+
{{ content['text'] }}
|
| 19 |
+
{% endif %}
|
| 20 |
+
{% endfor %}
|
| 21 |
+
<|im_end|>
|
| 22 |
+
{% endif %}
|
| 23 |
+
{% endfor %}
|
| 24 |
+
{% if add_generation_prompt %}
|
| 25 |
+
<|im_start|>assistant
|
| 26 |
+
{% endif %}
|
config.json
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LightOnOcrForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 151645,
|
| 7 |
+
"image_token_id": 151655,
|
| 8 |
+
"model_type": "lighton_ocr",
|
| 9 |
+
"multimodal_projector_bias": false,
|
| 10 |
+
"pad_token_id": 151643,
|
| 11 |
+
"projector_hidden_act": "gelu",
|
| 12 |
+
"spatial_merge_size": 2,
|
| 13 |
+
"text_config": {
|
| 14 |
+
"architectures": [
|
| 15 |
+
"Qwen3ForCausalLM"
|
| 16 |
+
],
|
| 17 |
+
"attention_bias": false,
|
| 18 |
+
"attention_dropout": 0,
|
| 19 |
+
"bos_token_id": null,
|
| 20 |
+
"dtype": "bfloat16",
|
| 21 |
+
"eos_token_id": null,
|
| 22 |
+
"head_dim": 128,
|
| 23 |
+
"hidden_act": "silu",
|
| 24 |
+
"hidden_size": 1024,
|
| 25 |
+
"initializer_range": 0.02,
|
| 26 |
+
"intermediate_size": 3072,
|
| 27 |
+
"layer_types": [
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention"
|
| 56 |
+
],
|
| 57 |
+
"max_position_embeddings": 16384,
|
| 58 |
+
"max_window_layers": 28,
|
| 59 |
+
"model_type": "qwen3",
|
| 60 |
+
"num_attention_heads": 16,
|
| 61 |
+
"num_hidden_layers": 28,
|
| 62 |
+
"num_key_value_heads": 8,
|
| 63 |
+
"pad_token_id": null,
|
| 64 |
+
"rms_norm_eps": 1e-06,
|
| 65 |
+
"rope_parameters": {
|
| 66 |
+
"rope_theta": 1000000,
|
| 67 |
+
"rope_type": "default"
|
| 68 |
+
},
|
| 69 |
+
"sliding_window": null,
|
| 70 |
+
"tie_word_embeddings": true,
|
| 71 |
+
"use_cache": true,
|
| 72 |
+
"use_qk_norm": true,
|
| 73 |
+
"use_sliding_window": false,
|
| 74 |
+
"vocab_size": 151936
|
| 75 |
+
},
|
| 76 |
+
"tie_word_embeddings": true,
|
| 77 |
+
"transformers_version": "5.15.0",
|
| 78 |
+
"vision_config": {
|
| 79 |
+
"attention_dropout": 0,
|
| 80 |
+
"dtype": "bfloat16",
|
| 81 |
+
"head_dim": 64,
|
| 82 |
+
"hidden_act": "silu",
|
| 83 |
+
"hidden_size": 1024,
|
| 84 |
+
"image_size": 1540,
|
| 85 |
+
"initializer_range": 0.02,
|
| 86 |
+
"intermediate_size": 4096,
|
| 87 |
+
"model_type": "pixtral",
|
| 88 |
+
"num_attention_heads": 16,
|
| 89 |
+
"num_channels": 3,
|
| 90 |
+
"num_hidden_layers": 24,
|
| 91 |
+
"patch_size": 14,
|
| 92 |
+
"rope_parameters": {
|
| 93 |
+
"rope_theta": 10000,
|
| 94 |
+
"rope_type": "default"
|
| 95 |
+
}
|
| 96 |
+
},
|
| 97 |
+
"vision_feature_layer": -1
|
| 98 |
+
}
|
evaluation.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model": "lightonai/LightOnOCR-2-1B-base",
|
| 3 |
+
"train_samples": 3000,
|
| 4 |
+
"epochs": 2,
|
| 5 |
+
"optimizer_steps": 375,
|
| 6 |
+
"lr": 1e-05,
|
| 7 |
+
"eval_pages": 30,
|
| 8 |
+
"base_cer": {
|
| 9 |
+
"mean": 0.6416954423539845,
|
| 10 |
+
"median": 0.6164383561643836
|
| 11 |
+
},
|
| 12 |
+
"finetuned_cer": {
|
| 13 |
+
"mean": 0.0011501285580295681,
|
| 14 |
+
"median": 0.0010395010395010396
|
| 15 |
+
},
|
| 16 |
+
"base_pred_samples": [
|
| 17 |
+
{
|
| 18 |
+
"file": "vekaletname_test_0000.jpg",
|
| 19 |
+
"cer": 0.1850828729281768,
|
| 20 |
+
"pred_head": "# T.C. GAZIANTEP 2. NOTERLİĞİ\n\n## GENEL VEKALETNAME\n\n<table>\n <tr>\n <td>Yevmiye No</td>\n <td>82083</td>\n </tr>\n <tr>\n <td>Tarih</td>\n <td>04.05.2025</td>\n </tr>\n <tr>\n <td>Vekalet Veren</td>\n <td>Ali Avcı — T.C. Kimlik No: 29378410092</td>\n </tr>\n <tr>\n <td>Adresi</td>\n <td>Orhangazi Mah. Vatan Caddesi No: 146, Odunpazarı / Eskişehir</td>\n </tr>\n <tr>\n <td>Vekil"
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"file": "vekaletname_test_0001.jpg",
|
| 24 |
+
"cer": 0.26173020527859236,
|
| 25 |
+
"pred_head": "# T.C. KAYSERI 34. NOTERLİĞİ\n\n## GENEL VEKALETNAME\n\n<table>\n <thead>\n <tr>\n <th>Yevmiye No</th>\n <th>49485</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Tarih</td>\n <td>13.11.2023</td>\n </tr>\n <tr>\n <td>Vekalet Veren</td>\n <td>Aslı Ateş — T.C. Kimlik No: 55927559264</td>\n </tr>\n <tr>\n <td>Adresi</td>\n <td>Zafer Mah. Bağdat Caddesi No: 140"
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"file": "vekaletname_test_0002.jpg",
|
| 29 |
+
"cer": 0.2773722627737226,
|
| 30 |
+
"pred_head": "# T.C. İZMİR 30. NOTERLİĞİ\n\n## GENEL VEKALETNAME\n\n<table>\n <thead>\n <tr>\n <th>Yevmiye No</th>\n <th>94329</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Tarih</td>\n <td>18.10.2026</td>\n </tr>\n <tr>\n <td>Vekalet Veren</td>\n <td>Tolga Aslan — T.C. Kimlik No: 99153535852</td>\n </tr>\n <tr>\n <td>Adresi</td>\n <td>Fatih Mah. Gazi Bulvarı No: 171/B"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"file": "vekaletname_test_0003.jpg",
|
| 34 |
+
"cer": 0.20121951219512196,
|
| 35 |
+
"pred_head": "# T.C. KAYSERI 23. NOTERLİĞİ\n\n## GENEL VEKALETNAME\n\n<table>\n <tr>\n <td>Yevmiye No</td>\n <td>91467</td>\n </tr>\n <tr>\n <td>Tarih</td>\n <td>02.08.2026</td>\n </tr>\n <tr>\n <td>Vekalet Veren</td>\n <td>Tolga Avcı — T.C. Kimlik No: 19760557368</td>\n </tr>\n <tr>\n <td>Adresi</td>\n <td>Cumhuriyet Mah. İstiklal Caddesi No: 137/A, Kocasinan / Kayseri</td>\n </tr>\n <tr>\n <td>V"
|
| 36 |
+
}
|
| 37 |
+
],
|
| 38 |
+
"finetuned_pred_samples": [
|
| 39 |
+
{
|
| 40 |
+
"file": "vekaletname_test_0000.jpg",
|
| 41 |
+
"cer": 0.0006906077348066298,
|
| 42 |
+
"pred_head": "T.C. GAZIANTEP 2. NOTERLİĞİ\n\n# GENEL VEKALETNAME\n\n**Yevmiye No:** 82083 \n**Tarih:** 04.05.2025 \n**Vekalet Veren:** Ali Avcı — T.C. Kimlik No: 29378410092 \n**Adresi:** Orhangazi Mah. Vatan Caddesi No: 146, Odunpazarı / Eskişehir \n**Vekil:** Ayşe Uçar — T.C. Kimlik No: 27904330760 \n**Vekil Adresi:** Gültepe Mah. İstiklal Caddesi No: 78/A, Şahinbey / Gaziantep \n\nYukarıda açık kimliği yazılı bul"
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"file": "vekaletname_test_0001.jpg",
|
| 46 |
+
"cer": 0.0007331378299120235,
|
| 47 |
+
"pred_head": "T.C. KAYSERI 34. NOTERLİĞİ\n\n# GENEL VEKALETNAME\n\n**Yevmiye No:** 49485 \n**Tarih:** 13.11.2023 \n**Vekalet Veren:** Aslı Ateş — T.C. Kimlik No: 55927559264 \n**Adresi:** Zafer Mah. Bağdat Caddesi No: 140, Yüreğir / Adana \n**Vekil:** Aslı Doğan — T.C. Kimlik No: 62917968524 \n**Vekil Adresi:** Yeşilyurt Mah. Menderes Bulvarı No: 21 Kat: 6, Konyaaltı / Antalya \n\nYukarıda açık kimliği yazılı buluna"
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"file": "vekaletname_test_0002.jpg",
|
| 51 |
+
"cer": 0.00072992700729927,
|
| 52 |
+
"pred_head": "T.C. İZMIR 30. NOTERLİĞİ\n\n# GENEL VEKALETNAME\n\n**Yevmiye No:** 94329 \n**Tarih:** 18.10.2026 \n**Vekalet Veren:** Tolga Aslan — T.C. Kimlik No: 99153535852 \n**Adresi:** Fatih Mah. Gazi Bulvarı No: 171/B, Tepebaşı / Eskişehir \n**Vekil:** Ceren Özdemir — T.C. Kimlik No: 74736047816 \n**Vekil Adresi:** Atatürk Mah. Şehitler Caddesi No: 179, Yıldırım / Bursa \n\nYukarıda açık kimliği yazılı bulunan b"
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"file": "vekaletname_test_0003.jpg",
|
| 56 |
+
"cer": 0.0007621951219512195,
|
| 57 |
+
"pred_head": "T.C. KAYSERI 23. NOTERLİĞİ\n\n# GENEL VEKALETNAME\n\n**Yevmiye No:** 91467 \n**Tarih:** 02.08.2026 \n**Vekalet Veren:** Tolga Avcı — T.C. Kimlik No: 19760557368 \n**Adresi:** Cumhuriyet Mah. İstiklal Caddesi No: 137/A, Kocasinan / Kayseri \n**Vekil:** Onur Çetin — T.C. Kimlik No: 85438185652 \n**Vekil Adresi:** Mimar Sinan Mah. Gazi Bulvarı No: 108/B, Nilüfer / Bursa \n\nYukarıda açık kimliği yazılı bu"
|
| 58 |
+
}
|
| 59 |
+
]
|
| 60 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.2,
|
| 10 |
+
"top_k": 0,
|
| 11 |
+
"top_p": 0.9,
|
| 12 |
+
"transformers_version": "5.15.0"
|
| 13 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cce5d6164c878ab2a513ecbfe4149feb3d8ea6ebef66a9003a6e6b94f1f850c3
|
| 3 |
+
size 2011367496
|
processor_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"do_convert_rgb": true,
|
| 6 |
+
"do_normalize": true,
|
| 7 |
+
"do_rescale": true,
|
| 8 |
+
"do_resize": true,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.48145466,
|
| 11 |
+
0.4578275,
|
| 12 |
+
0.40821073
|
| 13 |
+
],
|
| 14 |
+
"image_processor_type": "PixtralImageProcessor",
|
| 15 |
+
"image_std": [
|
| 16 |
+
0.26862954,
|
| 17 |
+
0.26130258,
|
| 18 |
+
0.27577711
|
| 19 |
+
],
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 1540
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"patch_size": 14,
|
| 28 |
+
"processor_class": "LightOnOcrProcessor",
|
| 29 |
+
"spatial_merge_size": 2
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"image_break_token": "<|vision_pad|>",
|
| 9 |
+
"image_end_token": "<|vision_end|>",
|
| 10 |
+
"image_token": "<|image_pad|>",
|
| 11 |
+
"is_local": false,
|
| 12 |
+
"local_files_only": false,
|
| 13 |
+
"max_length": null,
|
| 14 |
+
"model_max_length": 131072,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"image_break_token": "<|vision_pad|>",
|
| 17 |
+
"image_end_token": "<|vision_end|>",
|
| 18 |
+
"image_token": "<|image_pad|>"
|
| 19 |
+
},
|
| 20 |
+
"pad_to_multiple_of": null,
|
| 21 |
+
"pad_token": "<|endoftext|>",
|
| 22 |
+
"pad_token_type_id": 0,
|
| 23 |
+
"padding_side": "right",
|
| 24 |
+
"processor_class": "LightOnOcrProcessor",
|
| 25 |
+
"split_special_tokens": false,
|
| 26 |
+
"tokenizer_class": "TokenizersBackend",
|
| 27 |
+
"unk_token": null
|
| 28 |
+
}
|