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:
- d52163e77a6c9eb1c3c9a6edb91365757f7b31a469400bc974ac0af89ae3f602
- Size of remote file:
- 8.25 kB
- SHA256:
- b8ac41a0ee0d9488a70f8d39213ee0d1a518a082d8c2ff7250202bb7be791efd
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