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_00-45-34_SH-IDC1-10-140-37-61 /events.out.tfevents.1743439672.SH-IDC1-10-140-37-61
- Xet hash:
- 81d21a7d95355dc6e00fd88a783ce417c1ab58dfe976fd681392e039e3de53f4
- Size of remote file:
- 6.35 kB
- SHA256:
- 8e54f4c5430bd58b8518d281f3fb1f321019805212d6ffb38511615bc38ac9d2
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