Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video
temporal-grounding
qwen3-vl
Instructions to use MCG-NJU/TimeLens2-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/TimeLens2-8B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MCG-NJU/TimeLens2-8B") model = AutoModelForMultimodalLM.from_pretrained("MCG-NJU/TimeLens2-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e09b8f0ec72977211b121362864d620323f8ee1cc2a9fb50a6f9a619515acaa
- Size of remote file:
- 2.7 GB
- SHA256:
- d7487cf611578016a95403978efba3c62040da5a90c6383e88a836f79f14e4e5
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