Image-Text-to-Text
PaddleOCR
Safetensors
English
Chinese
multilingual
paddleocr_vl
ERNIE4.5
PaddlePaddle
image-to-text
ocr
document-parse
layout
table
formula
chart
seal
spotting
conversational
custom_code
Eval Results
Instructions to use PaddlePaddle/PaddleOCR-VL-1.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PaddleOCR-VL-1.6 with PaddleOCR:
# See https://www.paddleocr.ai/latest/version3.x/pipeline_usage/PaddleOCR-VL.html to installation from paddleocr import PaddleOCRVL pipeline = PaddleOCRVL(pipeline_version="v1.6") output = pipeline.predict("path/to/document_image.png") for res in output: res.print() res.save_to_json(save_path="output") res.save_to_markdown(save_path="output") - Notebooks
- Google Colab
- Kaggle
Add olmOCR-bench old_scans result (community)
#9
by davanstrien HF Staff - opened
Community-provided eval: PaddleOCR-VL-1.6 on olmOCR-bench old_scans = 38.6 (0-100, old_scans.jsonl sub-score: present/absent/order). Default v1.6 pipeline, greedy, no tuning. Harness validated by reproducing the published original-PaddleOCR-VL figure (37.8 -> 38.2, within CI). Method + scripts: https://github.com/davanstrien/ocr-bench/tree/d07a41232/experiments/olmocr-bench-oldscans