Instructions to use hantian/layoutreader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hantian/layoutreader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hantian/layoutreader")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hantian/layoutreader") model = AutoModelForTokenClassification.from_pretrained("hantian/layoutreader", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| license: cc-by-nc-sa-4.0 | |
| # LayoutReader | |
| A reading order prediction model. Turn bboxes extracted from PDF or detected by OCR into readable order. | |
| Please refer to [Github](https://github.com/ppaanngggg/layoutreader) for more details. |