Instructions to use PaddlePaddle/PP-DocBlockLayout_safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-DocBlockLayout_safetensors with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import LayoutDetection model = LayoutDetection(model_name="PP-DocBlockLayout_safetensors") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create README.md
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Add num_batches_tracked buffers for HF transformers compatibility
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Fix resample to BICUBIC (3) to match PaddleX preprocessing
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Convert safetensors to HF format (support both paddle_dynamic and transformers backends)
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Update safetensors with PaddleDet-format keys (no runtime conversion needed)
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Upload preprocessor_config.json with huggingface_hub
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Upload inference.yml with huggingface_hub
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Upload config.json with huggingface_hub
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Upload model.safetensors with huggingface_hub
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Upload inference.yml with huggingface_hub
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Upload config.json with huggingface_hub
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initial commit
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