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:
- 06dc2b54d6fd8649990a46684d6c2dd8b2cc002c07ecf291568c7e7b93f5aa6c
- Size of remote file:
- 4.93 GB
- SHA256:
- 7567668159301df6141978cae06428ca2be7eef69d61c06f34b453a5d227d891
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