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
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README.md
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```python
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from transformers import AutoProcessor, LlavaOnevisionForConditionalGeneration
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# Load the model in half-precision
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<summary>Click to expand/collapse code</summary>
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```python
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import torch
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from transformers import AutoProcessor, LlavaOnevisionForConditionalGeneration
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# Load the model in half-precision
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