Instructions to use vikp/layout_segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/layout_segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vikp/layout_segmenter")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("vikp/layout_segmenter") model = AutoModelForTokenClassification.from_pretrained("vikp/layout_segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from vikp/layout_segmenter: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
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https://huggingface.co/vikp/layout_segmenter/resolve/main/README.md
- Command line
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hf download hf://vikp/layout_segmenter/README.md
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curl -L -o README.md https://huggingface.co/vikp/layout_segmenter/resolve/main/README.md
118 Bytes
| Segments pdf page layout into blocks. Based on layoutlmv3. | |
| Used in [marker](https://github.com/VikParuchuri/marker). |