Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
video-scene-graph
scene-graph-generation
video-understanding
trajectory-aware
perceiver-resampler
qwen2.5-vl
text-generation-inference
Instructions to use UWGZQ/TRASER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UWGZQ/TRASER with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration_Insert processor = AutoProcessor.from_pretrained("UWGZQ/TRASER") model = Qwen2_5_VLForConditionalGeneration_Insert.from_pretrained("UWGZQ/TRASER") - Notebooks
- Google Colab
- Kaggle
Rename static/model.png to static/image.png
Browse files- .gitattributes +1 -0
- static/{model.png → image.png} +0 -0
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example/2401075277.mp4 filter=lfs diff=lfs merge=lfs -text
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static/model.png filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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example/2401075277.mp4 filter=lfs diff=lfs merge=lfs -text
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static/model.png filter=lfs diff=lfs merge=lfs -text
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static/image.png filter=lfs diff=lfs merge=lfs -text
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static/{model.png → image.png}
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