Video-Text-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_7B_caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_7B_caption with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_7B_caption") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1_7B_caption") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f69feae3d87a1fcee171c8dc80ed00c0e4f19ec7ebd8c6cf21dde04b92caa107
- Size of remote file:
- 4.97 GB
- SHA256:
- 77ec6c83f56654311092762580b8df43bf83bb043dec79bb588377adb8acdfac
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