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 /Apr02_22-41-39_SH-IDC1-10-140-37-29 /events.out.tfevents.1743605061.SH-IDC1-10-140-37-29
- Xet hash:
- 15d55c7076441357ade140f2dc1834d806293edb1e8cf6aa0ed298d0bcf82acb
- Size of remote file:
- 92.1 kB
- SHA256:
- 0df250787eb5260ddbf77c71e041111f196edec562bfbccb83ac2745f56e6408
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