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:
- bd777e5d517352531fc8d0b79f6840450691f0215b3563f4d37f21d1ebefdeb6
- Size of remote file:
- 135 kB
- SHA256:
- d48ffc072553065b397ab921e2fe38152be8a73414257681a4658ff7aa350475
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