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:
- 6119b6aedd3d2535fd30f1c43dad0c6049154f71f5c027aea4476e01b4b7ce73
- Size of remote file:
- 4.99 GB
- SHA256:
- 631eea0d2b820a1f31df194f04e5cdb85d8f08f456d9dc81490d7ccd9dbbf7a7
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