Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B") model = AutoModelForMultimodalLM.from_pretrained("OpenGVLab/VideoChat-R1_7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d49ccd0c07b8ce7ccceb91251ff414f7f3cbeda71edceea3812bc4160e7735
- Size of remote file:
- 4.99 GB
- SHA256:
- 0b6df2d24ec4a524f8786cf653f39d7c8b3bc27f492921ba0fe47adb53ad879b
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