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:
- ad886121b1aa5003c48539624d152dc00bd1bb888c8ef1970d548318c353f770
- Size of remote file:
- 1.69 GB
- SHA256:
- ef480cb32c176140882806c5159880b0391f9d77bb87a21cf2d75988591a627e
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