Introduction of react-native-executorch-PaddleHelpers
Model Details of react-native-executorch-PaddleHelpers
Introduction
This repository hosts the
PaddleOCR document helper models
— page-orientation
classification, dewarping, and table-structure recognition — for the
React Native ExecuTorch
library,
fused into
one multi-method
.pte
per backend for the
ExecuTorch
runtime
(XNNPACK, CoreML, Vulkan). These are document pre/post-processing companions to
react-native-executorch-paddleocr
-
not an OCR model on their own.
If you'd like to run these models in your own ExecuTorch runtime, refer to the
official documentation
for setup instructions.
Methods
The fused
.pte
exposes
four methods
(the
.pte
is pure tensor→tensor; the client
does normalization,
argmax
/
softmax
, grid-sampling and the decode loop):
table_decode_step
is always computed in fp32 (autoregressive stability)
Compatibility
If you intend to use these models outside of React Native ExecuTorch, make sure your runtime is
compatible with the
ExecuTorch
version used to export the
.pte
files. For more details, see
the compatibility note in the
ExecuTorch GitHub repository
.
If you work with React Native ExecuTorch, the library constants guarantee compatibility with the
runtime used behind the scenes.
Runs of software-mansion react-native-executorch-PaddleHelpers on huggingface.co
0
Total runs
0
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0
3-day runs
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