Model Details
Full Model IDdeepseek-ai/DeepSeek-OCR
Pipeline / Taskimage-text-to-text
Librarytransformers
Downloads (all-time)2.1M
Likes3.2K
Last Modified11/4/2025
Author / Orgdeepseek-ai
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="deepseek-ai/DeepSeek-OCR")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsdeepseek_vl_v2feature-extractiondeepseekvision-languageocrcustom_codeimage-text-to-textmultilingualarxiv:2510.18234license: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
⬇ Downloads2.1M
❤️ Community Likes3.2K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.