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:
- 69806f6f9122a456619cf07c856102b83dc4993a7ffc654ae3184dce436dd28a
- Size of remote file:
- 4.99 GB
- SHA256:
- e6e7dbebd65ea93e7ee937bc1924057f1156d9ffaed0a4d9ad749b94302b2656
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