Video-Text-to-Text
Transformers
Safetensors
llava_onevision
image-text-to-text
multimodal
multilingual
vlm
translation
Instructions to use utter-project/TowerVideo-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/TowerVideo-2B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("utter-project/TowerVideo-2B") model = AutoModelForImageTextToText.from_pretrained("utter-project/TowerVideo-2B") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2491014717db94d130e4905f975c4980913765eb21522ce93b990851c50d0adf
- Size of remote file:
- 179 kB
- SHA256:
- ece008001af8bff03a484c200f1985c5e6e757c502c35e9ef33ff7f3eadeeeca
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