Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video
temporal-grounding
qwen3-vl
Instructions to use MCG-NJU/TimeLens2-2B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/TimeLens2-2B-SFT with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MCG-NJU/TimeLens2-2B-SFT") model = AutoModelForMultimodalLM.from_pretrained("MCG-NJU/TimeLens2-2B-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Set video-text-to-text pipeline tag
Browse files
README.md
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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:
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base_model: Qwen/Qwen3-VL-2B-Instruct
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tags:
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- video
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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-2B-Instruct
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tags:
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- video
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