Image-to-Text
ONNX
PaddleOCR
English
Chinese
onnxruntime
pp_formulanet
OCR
PaddlePaddle
formula_recognition
Instructions to use ningpp/PP-FormulaNet_plus-L-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use ningpp/PP-FormulaNet_plus-L-ONNX with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import FormulaRecognition model = FormulaRecognition(model_name="PP-FormulaNet_plus-L-ONNX") 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
File size: 373 Bytes
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license: apache-2.0
library_name: onnxruntime
language:
- en
- zh
pipeline_tag: image-to-text
tags:
- OCR
- PaddlePaddle
- PaddleOCR
- formula_recognition
---
# ONNX model for [PP-FormulaNet_plus-L_safetensors](https://huggingface.co/PaddlePaddle/PP-FormulaNet_plus-L_safetensors)
## try with [ningpp/flux](https://github.com/ningpp/flux)
Flux is a Java-based OCR
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