Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen3_vl
image-text-to-text
video
streaming-video
proactive-response
visual-question-answering
Instructions to use MCG-NJU/OneStreamer-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/OneStreamer-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MCG-NJU/OneStreamer-4B") model = AutoModelForMultimodalLM.from_pretrained("MCG-NJU/OneStreamer-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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library_name: transformers
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pipeline_tag:
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base_model: Qwen/Qwen3-VL-4B-Instruct
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language:
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# OneStreamer-4B
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2610.01762}
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```
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: video-text-to-text
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base_model: Qwen/Qwen3-VL-4B-Instruct
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language:
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- en
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- zh
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tags:
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- video
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- streaming-video
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- proactive-response
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- visual-question-answering
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# OneStreamer-4B
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2610.01762}
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}
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```
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