Video-Text-to-Text
Transformers
Safetensors
English
qwen3_omni_moe
text-to-audio
video-captioning
multimodal
physical-reasoning
grounded-generation
physics
Instructions to use Fysics-AI/OmniFysics-Captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fysics-AI/OmniFysics-Captioner with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Fysics-AI/OmniFysics-Captioner") model = AutoModelForMultimodalLM.from_pretrained("Fysics-AI/OmniFysics-Captioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Fysics-AI/OmniFysics-Captioner: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Fysics-AI/OmniFysics-Captioner/resolve/main/tokenizer.json
- Command line
-
hf download hf://Fysics-AI/OmniFysics-Captioner/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Fysics-AI/OmniFysics-Captioner/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- df93d528ca78938fb5b588dcbd88d2e998b5d003a8f140e9a041280ad118a92c
- Size of remote file:
- 11.4 MB
- SHA256:
- a7d41145c408f3062e824f965be1c29854cd809e111cdf8170aa8b0bcd5d1fab
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