Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
video-grounding
temporal-grounding
video-understanding
qwen3-vl
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:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("TencentARC/TimeLens-8B") model = AutoModelForImageTextToText.from_pretrained("TencentARC/TimeLens-8B") - Notebooks
- Google Colab
- Kaggle
Fix processor resize defaults for vLLM compatibility
#1
by JungleGym - opened
Remove explicit do_resize: false from the video and image processor configs so the checkpoint falls back to the upstream Qwen3-VL default behavior. This keeps Transformers examples unchanged when do_resize=False is passed explicitly, while restoring compatibility for runtimes like vLLM that rely on the saved processor defaults.
JungleGym changed pull request status to merged
JungleGym deleted the
refs/pr/1 ref