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:
- 38966e93f4b18c3e6494e802641f1ec2d49573104ae4d16cce2dca573fa81c41
- Size of remote file:
- 4.93 GB
- SHA256:
- d804f2ce14e88a8bae5d95bfab32500a1c860e3b5520cef192682fde970e9393
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