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:
- d20416146f10cb4a91d5bd76e33cfebef3aad35c4a385c26adba08ac65fe920b
- Size of remote file:
- 4.97 GB
- SHA256:
- afe5688eeb9310ebcf3c60975d9bb8461cdc1aa0f8165c45af7248063a1f2ecb
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