Video-Text-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
SAVER
video
video-question-answering
temporal-grounding
reinforcement-learning
Instructions to use lmsdss/SAVER-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmsdss/SAVER-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lmsdss/SAVER-2B") model = AutoModelForMultimodalLM.from_pretrained("lmsdss/SAVER-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Update pipeline tag, add license and links (#1)
- Update pipeline tag, add license and links (6dc38d0ae7e6f91e08476569cc753b40fac6cf41) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>826d7a8
19 days ago
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Replace training and evaluation sections with paper abstract
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Release SAVER 2B: sparse video reasoning from dense references
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