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 training_args.bin from Video-R1/Video-R1-7B: direct link, hf CLI and curl.
- Browser
- Download file 7.93 kB
-
https://huggingface.co/Video-R1/Video-R1-7B/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://Video-R1/Video-R1-7B@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Video-R1/Video-R1-7B/resolve/refs%2Fpr%2F2/training_args.bin
7.93 kB
- Xet hash:
- ee2207d126d9d8e23caf5d0c38f7b5fa28c6f9326c3c38d88a46e17250738fee
- Size of remote file:
- 7.93 kB
- SHA256:
- 861877c7b1d083c75a73a4316fbeda2eccf33c8eb9ab40be0041fe49673ed59d
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