Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
Realtime
Streaming
Video-Understanding
Image-Understanding
MOSS-VL
OpenMOSS
multimodal
video
vision-language
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -372,14 +372,4 @@ We are continuing to improve realtime response timing, dynamic correction, broad
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howpublished = {\url{https://github.com/OpenMOSS/MOSS-VL}},
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note = {GitHub repository}
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}
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@misc{mossvideopreview2026,
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title = {{MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention}},
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author = {Pengyu Wang and Chenkun Tan and Shaojun Zhou and Wei Huang and Qirui Zhou and Zhan Huang and Zhen Ye and Jijun Cheng and Xiaomeng Qian and Yanxin Chen and Xingyang He and Huazheng Zeng and Chenghao Wang and Pengfei Wang and Hongkai Wang and Shanqing Gao and Yixian Tian and Chenghao Liu and Xinghao Wang and Botian Jiang and Xipeng Qiu},
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year = {2026},
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eprint = {2606.07639},
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archivePrefix = {arXiv},
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primaryClass = {cs.CV},
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url = {https://arxiv.org/abs/2606.07639}
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}
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```
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howpublished = {\url{https://github.com/OpenMOSS/MOSS-VL}},
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note = {GitHub repository}
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}
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```
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