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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Video-R1/Video-R1-7B") model = AutoModelForMultimodalLM.from_pretrained("Video-R1/Video-R1-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from Video-R1/Video-R1-7B: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/scheduler.pt
- Command line
-
hf download hf://Video-R1/Video-R1-7B/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- c87d68835983b08355e4a982b5d5b33ceaa69526c2027bdedc96ffd49262bdc2
- Size of remote file:
- 1.06 kB
- SHA256:
- 225f3224d2fb6d353344ffd60df8c5fc8f371da307167231b90fa6271f8997d4
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