Video-Text-to-Text
Transformers
Safetensors
multimodal
video-understanding
video-audio understanding
video-qa
video-captioning
video-grounding
video-reasoning
short video understanding
Instructions to use TencentARC/ARC-Qwen-Video-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentARC/ARC-Qwen-Video-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TencentARC/ARC-Qwen-Video-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecd34caf4c27df3e5aed804cb876bb1215090c141d4c31ce7dc287aefe48282b
- Size of remote file:
- 1.55 kB
- SHA256:
- bd61d89d6d8137c60fe3c33e41d6762a2ce2ac292a8ffd3519d21ef275ecea31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.