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
Commit History
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Add/improve model card: add pipeline tag, library name, and link to paper/code
Verified signatureThis PR improves the model card by adding crucial metadata, including the `pipeline_tag` (video-text-to-text) and `library_name` (transformers), which are essential for model discoverability and proper categorization on the Hub. The model card now also clearly links to the paper and the code repository.baaf4a7
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Initial model upload
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initial commit
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