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 model-00001-of-00004.safetensors from Video-R1/Video-R1-7B: direct link, hf CLI and curl.
- Browser
- Download file 4.97 GB
-
https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/model-00001-of-00004.safetensors
- Command line
-
hf download hf://Video-R1/Video-R1-7B/model-00001-of-00004.safetensors
-
curl -L -o model-00001-of-00004.safetensors https://huggingface.co/Video-R1/Video-R1-7B/resolve/main/model-00001-of-00004.safetensors
4.97 GB
- Xet hash:
- 7f0f67dfaab5c0eac98c1a9fd8c4f5e8489e375e40b80cb2c7e7880928625007
- Size of remote file:
- 4.97 GB
- SHA256:
- 36b23565e27a08b2ea32ae2b1f9fccda548d5b137d0800f47a5b0194176c4b29
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