🤖 image-text-to-text

dots.ocr

rednote-hilab/dots.ocr

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166.5K
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dots_ocr
Library
Model Details
Full Model IDrednote-hilab/dots.ocr
Pipeline / Taskimage-text-to-text
Librarydots_ocr
Downloads (all-time)166.5K
Likes1.3K
Last Modified10/31/2025
Author / Orgrednote-hilab
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("image-text-to-text", model="rednote-hilab/dots.ocr")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
dots_ocrsafetensorstext-generationimage-to-textocrdocument-parselayouttableformulatransformerscustom_codeimage-text-to-textconversationalenzhmultilinguallicense:miteval-resultsregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: image-text-to-text

This model is designed for the image-text-to-text task. Explore more models for this use case.

All image-text-to-text Models →
📊 Popularity
Downloads166.5K
❤️ Community Likes1.3K
🛠️ Requirements
  • Install: pip install dots_ocr
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?