Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_5-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_5-7B") model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/VideoChat-R1_5-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b26737b323ea4679d5aa1efcd3ecc629e447c830f5b0c9f3a349ff8d1531f57
- Size of remote file:
- 4.97 GB
- SHA256:
- 2f35eb7aceea2e62871338164db9511675f1d616d0b1f7c7c1ef9cc8d20a6338
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