Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video-retrieval
temporal-grounding
videosearch-r1
Instructions to use VideoSearchR1/activitynet-stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VideoSearchR1/activitynet-stage2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("VideoSearchR1/activitynet-stage2") model = AutoModelForMultimodalLM.from_pretrained("VideoSearchR1/activitynet-stage2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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