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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("utter-project/TowerVideo-9B") model = AutoModelForImageTextToText.from_pretrained("utter-project/TowerVideo-9B") - Notebooks
- Google Colab
- Kaggle
| {{ bos_token }}{% for message in messages %}{% if message['role'] == 'assistant' %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}<start_of_turn>{{ role }} | |
| {{ message['content'] | trim }}<end_of_turn> | |
| {% endfor %}{% if add_generation_prompt %}<start_of_turn>model | |
| {% endif %} |