Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
video-grounding
temporal-grounding
video-understanding
qwen3-vl
Eval Results
Instructions to use TencentARC/TimeLens-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentARC/TimeLens-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("TencentARC/TimeLens-8B") model = AutoModelForMultimodalLM.from_pretrained("TencentARC/TimeLens-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Use canonical OmniCompass track names
Browse files
.eval_results/omnicompass.yaml
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- dataset:
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id: VCLab-PolyU/OmniCompass
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task_id:
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value: 23.6
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source:
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url: https://omnicompass.netlify.app/#leaderboard
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- dataset:
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id: VCLab-PolyU/OmniCompass
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task_id: OmniCompass-VL
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value: 23.6
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source:
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url: https://omnicompass.netlify.app/#leaderboard
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