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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("utter-project/TowerVideo-2B") model = AutoModelForMultimodalLM.from_pretrained("utter-project/TowerVideo-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mc-eval1.png from utter-project/TowerVideo-2B: direct link, hf CLI and curl.
- Browser
- Download file 154 kB
-
https://huggingface.co/utter-project/TowerVideo-2B/resolve/7e676ed2e25b5e07414a10258c81af0dd11ea4eb/mc-eval1.png
- Command line
-
hf download hf://utter-project/TowerVideo-2B@7e676ed2e25b5e07414a10258c81af0dd11ea4eb/mc-eval1.png
-
curl -L -o mc-eval1.png https://huggingface.co/utter-project/TowerVideo-2B/resolve/7e676ed2e25b5e07414a10258c81af0dd11ea4eb/mc-eval1.png
154 kB

- Xet hash:
- 9041e4faa1f804cf10dd33aced69971fd5d7ce417e67046b1a753ed24d90e37a
- Size of remote file:
- 154 kB
- SHA256:
- 066b7bab00a7e2a6ff593739ba81af99f2a58c9a380b0acfc0a398881906a957
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