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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B") model = AutoModelForMultimodalLM.from_pretrained("OpenGVLab/VideoChat-R1_7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 166bf1bd39cbb6e32ae0a4217ed208b8ca1c052b0e19d374c0d8661c7277f8cb
- Size of remote file:
- 1.69 GB
- SHA256:
- 3207aec79e52969d320bc1659751084b6fe9179859695286b10687860eb5bec1
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