Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen3_vl
image-text-to-text
video
streaming-video
proactive-response
visual-question-answering
Instructions to use MCG-NJU/OneStreamer-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/OneStreamer-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MCG-NJU/OneStreamer-4B") model = AutoModelForMultimodalLM.from_pretrained("MCG-NJU/OneStreamer-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MCG-NJU/OneStreamer-4B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MCG-NJU/OneStreamer-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://MCG-NJU/OneStreamer-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MCG-NJU/OneStreamer-4B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 88b705272b186d2fc8fda4fe7006b63e3bd24ab8d6f6e4fbad3edf85cc16f6ad
- Size of remote file:
- 11.4 MB
- SHA256:
- 5e1d8bb4ecfc261a993f262a1ef623f3de0ae632980b8d3d1f43b54e53b78ca7
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