Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use Video-R1/Qwen2.5-VL-7B-COT-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Video-R1/Qwen2.5-VL-7B-COT-SFT with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Video-R1/Qwen2.5-VL-7B-COT-SFT") model = AutoModelForImageTextToText.from_pretrained("Video-R1/Qwen2.5-VL-7B-COT-SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 783ad524a394874c0176c22527d7a8c12e48cba3d2bb6ab5ecf579d29ce78bc8
- Size of remote file:
- 7.74 kB
- SHA256:
- f051a6131b320dbec5da4e759cb2f037612d2b7c965810cb97ad7db24a51ad59
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