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_00-02-28_SH-IDC1-10-140-37-61 /events.out.tfevents.1743437086.SH-IDC1-10-140-37-61
- Xet hash:
- 90fa14d7905eb79af2b8bf016d0730544676209dbae28fbc72690c281e8f923a
- Size of remote file:
- 9.91 kB
- SHA256:
- 0f0a1df4b5daaf10aef76ae292bffb15ea3d8f1b31e6104f7a808c9ea1c0523a
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