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_2.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/refs%2Fpr%2F1/rng_state_2.pth
- Command line
-
hf download hf://Video-R1/Video-R1-7B@refs/pr/1/rng_state_2.pth
-
curl -L -o rng_state_2.pth https://huggingface.co/Video-R1/Video-R1-7B/resolve/refs%2Fpr%2F1/rng_state_2.pth
15.3 kB
- Xet hash:
- 2e946c2fa219a385fc44cd8713c0e92a604db3a63c6709b0b60e069f8014a92b
- Size of remote file:
- 15.3 kB
- SHA256:
- cdcf98b67397c9d2190449f608f9175fd08a101275df82e3104e2346d9c65155
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