# unlimited-ocr-torch Unlimited-OCR document parser that reads a page into layout elements (titles, paragraphs, tables, figures) with recognized text, including long and multi-column documents. **Details** - Model name: `unlimited-ocr-torch` - Model source: [https://huggingface.co/baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) - Model author: Baidu - Model license: MIT - Model size: 6.21 GB - Exposes embeddings? no - Tags: `ocr, detection, torch, transformer, vlm` **Requirements** - Packages: `torch, torchvision, transformers>=4.49,<5, easydict, einops, addict` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset( "coco-2017", split="validation", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("unlimited-ocr-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```