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
- Xet hash:
- c72733a8f4f228cd9bc139d9ebea08f926a0bfb9e12fefadf29b5c8e7933149f
- Size of remote file:
- 11.4 MB
- SHA256:
- c223ff9a3d2f7e7dff58154d450ebdbcfb021df0127906661e5bd02a17056365
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