Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video-retrieval
temporal-grounding
videosearch-r1
Instructions to use VideoSearchR1/charades-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VideoSearchR1/charades-stage1 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("VideoSearchR1/charades-stage1") model = AutoModelForMultimodalLM.from_pretrained("VideoSearchR1/charades-stage1") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, links to paper, project page, and code
#1
by nielsr HF Staff - opened
Hi! I'm opening this PR to enhance the model card of this checkpoint by:
- Adding
pipeline_tag: video-text-to-textto the YAML metadata to improve its discoverability on the Hub. - Adding Markdown links to the paper, project page, and official GitHub repository.
- Adding the BibTeX citation for the ECCV 2026 paper.
happy8825 changed pull request status to merged