Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
Realtime
Streaming
Video-Understanding
Image-Understanding
MOSS-VL
OpenMOSS
multimodal
video
vision-language
custom_code
sglang
Instructions to use OpenMOSS-Team/MOSS-VL-Realtime-SGLANG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Realtime-SGLANG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Realtime-SGLANG", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
24 days ago
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per-sample media budgets in processor; per-sample MRoPE position ids for batched vision inputs
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per-sample media budgets in processor; per-sample MRoPE position ids for batched vision inputs
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25 days ago
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sync offline system prompts with training data: no_thinking -> no system message, deep_thinking -> <think>/<answer> tags
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docs: clarify repository updates and realtime client lifecycle
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docs: add bilingual model cards and streamline inference guidance
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Add files using upload-large-folder tool
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initial commit
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