Video-Text-to-Text
Transformers
Safetensors
English
moss_vl
feature-extraction
Realtime
Streaming
Video-Understanding
Image-Understanding
MOSS-VL
OpenMOSS
multimodal
video
vision-language
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c3da6082bf0250da816ed55264a9049c903eb6d793629ae371b5932f7514822
- Size of remote file:
- 11.4 MB
- SHA256:
- e7bbd0f9784004df51aca562befc3c7a8f294b4045aa8685536c35804c9aa493
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