Any-to-Any
Transformers
Safetensors
qwen3_5
image-text-to-text
video-editing
agent
tool-use
long-horizon
reinforcement-learning
qwen3.5
Instructions to use tencent/WeVisCut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/WeVisCut with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("tencent/WeVisCut") model = AutoModelForMultimodalLM.from_pretrained("tencent/WeVisCut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# WeDirector: The Whole Editing Room in One Agent
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### From Narration to Long-Form Video
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A 9B role-routed policy for **planning, retrieval, composition, inspection, and repair** — trained on executable editing trajectories, not just finished videos.
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# WeDirector: The Whole Editing Room in One Agent: From Narration to Long-Form Video
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A 9B role-routed policy for **planning, retrieval, composition, inspection, and repair** — trained on executable editing trajectories, not just finished videos.
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