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:
- d8afa1f6f3ea3f16d98fce7895282a83c4eb38b30af190f43649a5188663f721
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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