Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use Video-R1/Video-R1-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Video-R1/Video-R1-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Video-R1/Video-R1-7B") model = AutoModelForImageTextToText.from_pretrained("Video-R1/Video-R1-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99c8766002a299e070b06c91e86188693aff431ca42ae862228cf9c0b42231c1
- Size of remote file:
- 15.3 kB
- SHA256:
- 158e872826fd593fd82707dc376e2ea240b72c7900bf6e6249989652ce396e48
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