Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1-thinking_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1-thinking_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1-thinking_7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1-thinking_7B") - Notebooks
- Google Colab
- Kaggle
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README.md
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"max_pixels": 360 * 420,
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"fps": 1.0,
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},
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{"type": "text", "text": f"""{question}
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Output your thought process within the <think> </think> tags, including analysis with either specific timestamps (xx.xx) or time ranges (xx.xx to xx.xx) in <timestep> </timestep> tags.
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"max_pixels": 360 * 420,
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"fps": 1.0,
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},
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{"type": "text", "text": f"""{question}
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Output your thought process within the <think> </think> tags, including analysis with either specific timestamps (xx.xx) or time ranges (xx.xx to xx.xx) in <timestep> </timestep> tags.
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