Video-Text-to-Text
Transformers
Safetensors
llava_onevision
image-text-to-text
multimodal
multilingual
vlm
translation
Instructions to use utter-project/TowerVideo-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/TowerVideo-9B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("utter-project/TowerVideo-9B") model = AutoModelForMultimodalLM.from_pretrained("utter-project/TowerVideo-9B") - Notebooks
- Google Colab
- Kaggle
File size: 156 Bytes
2261404 | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": 107,
"pad_token_id": 0,
"transformers_version": "4.55.4",
"use_cache": false
}
|