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
| {% set image_count = namespace(value=0) %} | |
| {% for message in messages %} | |
| {% if loop.first and message['role'] != 'system' %} | |
| <|im_start|>system<|im_end|> | |
| {% endif %} | |
| <|im_start|>{{ message['role'] }} | |
| {% if message['content'] is string %} | |
| {{ message['content'] }}<|im_end|> | |
| {% else %} | |
| {% for content in message['content'] %} | |
| {% if content['type'] == 'image' or 'image' in content or 'image_url' in content %} | |
| {% set image_count.value = image_count.value + 1 %} | |
| {% if add_vision_id %} | |
| Picture {{ image_count.value }}: | |
| {% endif -%} | |
| <|image_pad|> | |
| {%- elif 'text' in content %} | |
| {{ content['text'] }} | |
| {% endif %} | |
| {% endfor %} | |
| <|im_end|> | |
| {% endif %} | |
| {% endfor %} | |
| {% if add_generation_prompt %} | |
| <|im_start|>assistant | |
| {% endif %} |