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
Guilherme Viveiros commited on
Update README.md
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README.md
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@@ -40,8 +40,6 @@ TowerVision is a family of open-source multilingual vision-language models with
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This model card covers the TowerVision family, including the 2B and 9B parameter versions, both in their instruct-tuned (it) and pretrained (pt) variants, with the latter not undergoing instruction tuning.
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- **Point of Contact**: X (add some email here)
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- **License**: Apache 2.0
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- **Model Family**: TowerVision (2B, 9B variants)
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- **Context length**: 8192 tokens
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- **Languages**: 20+ languages including European, Asian, and other language families
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This model card covers the TowerVision family, including the 2B and 9B parameter versions, both in their instruct-tuned (it) and pretrained (pt) variants, with the latter not undergoing instruction tuning.
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- **Model Family**: TowerVision (2B, 9B variants)
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- **Context length**: 8192 tokens
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- **Languages**: 20+ languages including European, Asian, and other language families
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