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
Improve model card metadata, author list, and architecture image path
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card for TRASER by:
- Adding
library_name: transformersanddatasetsto the YAML metadata for better discoverability. - Adding the missing author Winson Han and fixing the formatting for Tario G. You in the author list.
- Updating the architecture image link to
static/image.pngto correctly point to the file listed in the repository structure.
UWGZQ changed pull request status to merged
Thank you so much!