Model Details
Full Model IDtencent/HunyuanOCR
Pipeline / Taskimage-text-to-text
Librarytransformers
Downloads (all-time)173.6K
Likes567
Last Modified1/13/2026
Author / Orgtencent
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="tencent/HunyuanOCR")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorshunyuan_vltext-generationocrhunyuanvision-languageimage-to-text1Bend-to-endimage-text-to-textconversationalmultilingualarxiv:2511.19575base_model:tencent/HunyuanOCRbase_model:finetune:tencent/HunyuanOCRlicense:othereval-resultsendpoints_compatibleregion: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
⬇ Downloads173.6K
❤️ Community Likes567
🛠️ 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.