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 rng_state_0.pth from Video-R1/Video-R1-7B: direct link, hf CLI and curl.
- Browser
- Download file 15.3 kB
-
https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/rng_state_0.pth
- Command line
-
hf download hf://Video-R1/Video-R1-7B/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/rng_state_0.pth
15.3 kB
- Xet hash:
- 4efd73e6d8f0d28b491d3f7c0284745924790d16d231a02d61124329e72fe3a3
- Size of remote file:
- 15.3 kB
- SHA256:
- fbca0365945aa4e0bf40c5bd0739d6ddecd57ad13580bc6ade56acea22de3af6
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