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
- Xet hash:
- 283f8c6b4b02af6e4e128483e41c32424ff25a55beb77e563ff7c063bbdc3f45
- Size of remote file:
- 4.93 GB
- SHA256:
- 792a30a5daf5db96780fe8e699962dd537085affcaa04a59f6ece7730e9968ec
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