Video-Text-to-Text
Transformers
PyTorch
Safetensors
English
Chinese
llama
text-generation
custom_code
text-generation-inference
Instructions to use KangarooGroup/kangaroo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KangarooGroup/kangaroo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("KangarooGroup/kangaroo", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("KangarooGroup/kangaroo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
Release
- [2024/07/17] 🔥 Kangaroo has been released. We release blog and model. Please check out the blog for details.
Citation
If you find it useful for your research , please cite related papers/blogs using this BibTeX:
@misc{kangaroogroup,
title={Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input},
url={https://kangaroogroup.github.io/Kangaroo.github.io/},
author={Jiajun Liu and Yibing Wang and Hanghang Ma and Xiaoping Wu and Xiaoqi Ma and Jie Hu},
month={July},
year={2024}
}