Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video-retrieval
temporal-grounding
videosearch-r1
Instructions to use VideoSearchR1/charades-stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VideoSearchR1/charades-stage2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("VideoSearchR1/charades-stage2") model = AutoModelForMultimodalLM.from_pretrained("VideoSearchR1/charades-stage2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, links to paper, project page, and repository (#1)
- Add pipeline tag, links to paper, project page, and repository (eb0e63ed1d41e8988d251c2f0cd93550e1665ab4) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>c78dc49
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Update stage checkpoint model card
Verified signatured4b9bdd
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Initial model release
seohyun882576f13e0