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, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a8eea18f9bab49651605f68af89f86118a5b88afb7ec1efd849aa7d44dd01a5a
- Size of remote file:
- 1.07 MB
- SHA256:
- 7366164e8e0b8cca177659d9d595219923b4bd8ecfc0ca2d1d77b42f3abb258c
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