Instructions to use bndos/pp-doclayout-v3-trt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use bndos/pp-doclayout-v3-trt with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 775 Bytes
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license: apache-2.0
tags:
- pp-doclayoutv3
- tensorrt
- onnx
- document-layout-analysis
pipeline_tag: object-detection
library_name: paddlex
---
# PP-DocLayoutV3 TensorRT
## Contents
```text
onnx/inference.onnx
paddlex/inference.json
paddlex/inference.yml
engines/sm89-trt10.15-cuda12.6-fp16-b1_8/pp_doclayout_v3.engine
engines/sm89-trt10.15-cuda12.6-fp16-b1_8/engine_manifest.json
artifact_manifest.json
scripts/build_engine.sh
```
## Engine
```text
GPU: RTX 4090 / sm89
TensorRT: 10.15.1.29
CUDA: 12.6
Precision: FP16
Profile: batch 1-8, image 3x800x800
```
TensorRT engines are runtime-specific. Rebuild from `onnx/inference.onnx` if the engine is not compatible with the deployment GPU or TensorRT version.
## Rebuild
```bash
bash scripts/build_engine.sh
```
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