Video-Text-to-Text
Transformers
Safetensors
qwen2_5_omni
text-to-audio
multimodal
video-captioning
audio-visual
ugc
Instructions to use openinterx/UGC-VideoCaptioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openinterx/UGC-VideoCaptioner with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("openinterx/UGC-VideoCaptioner") model = AutoModelForMultimodalLM.from_pretrained("openinterx/UGC-VideoCaptioner") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7b0c026b53161f9c1626a2d409150e73d30c252814c01b827790a4a5393956f3
- Size of remote file:
- 325 kB
- SHA256:
- 07a054d8ac60bfdef2494255b7872b31e790afff1149ebbf4fa872059d37585e
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