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
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Download README.md from hantian/layoutreader: direct link, hf CLI and curl.
- Browser
- Download file 244 Bytes
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https://huggingface.co/hantian/layoutreader/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://hantian/layoutreader@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/hantian/layoutreader/resolve/refs%2Fpr%2F1/README.md
244 Bytes
| library_name: transformers | |
| # 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. |