Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
MOSS-VL
realtime
streaming
video-understanding
FP8
compressed-tensors
HQQ
quantized
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime-FP8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime-FP8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/architecture.png from OpenMOSS-Team/MOSS-VL-Realtime-FP8: direct link, hf CLI and curl.
- Browser
- Download file 6.09 MB
-
https://huggingface.co/OpenMOSS-Team/MOSS-VL-Realtime-FP8/resolve/main/assets/architecture.png
- Command line
-
hf download hf://OpenMOSS-Team/MOSS-VL-Realtime-FP8/assets/architecture.png
-
curl -L -o architecture.png https://huggingface.co/OpenMOSS-Team/MOSS-VL-Realtime-FP8/resolve/main/assets/architecture.png
6.09 MB

- Xet hash:
- 354b84af18aa3687861ecc0bbd02571465933aa66d85baeb7424d85746546847
- Size of remote file:
- 6.09 MB
- SHA256:
- 28e51b34e031c884c540601d6b6651576c65836dc252694a1dc7dc0b1fc15237
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