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
More image-text-to-text Models
See all →🚀 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.