Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1-thinking_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1-thinking_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1-thinking_7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1-thinking_7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18d36b0783f0574f7f28ad3903192038ca3a5d5bda89f00d2d7f52effb2f3e64
- Size of remote file:
- 4.97 GB
- SHA256:
- 8dc40a1b927aaa66560a371ae012afbd2cf56109e4fd5fc6cf078ffcc94c949d
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