Video-Text-to-Text
Transformers
Safetensors
English
qwen3_5
text-generation
video
multimodal
video-captioning
temporal-grounding
qwen
VLM
custom_code
Instructions to use cudabenchmarktest/video-scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cudabenchmarktest/video-scan with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("cudabenchmarktest/video-scan", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("cudabenchmarktest/video-scan", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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