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
PP-DocLayoutV3 TensorRT
Contents
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
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 scripts/build_engine.sh