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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1_7B") - Notebooks
- Google Colab
- Kaggle
VideoChat-R1_7B / runs /Apr01_00-19-16_SH-IDC1-10-140-37-61 /events.out.tfevents.1743438091.SH-IDC1-10-140-37-61
- Xet hash:
- 52faed8cac056e0cc9bcdc2a39711c18f68f64f306b3c6709baefd37d667be55
- Size of remote file:
- 17.6 kB
- SHA256:
- 282c852b76d871c685413a0bd8843c93f58410cc84216e871c49a3489fd6c160
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