Instructions to use TencentARC/SEED-Story with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SEED-Story
How to use TencentARC/SEED-Story with SEED-Story:
# seed_story_cfg_path refers to 'https://github.com/TencentARC/SEED-Story/blob/master/configs/clm_models/agent_7b_sft.yaml' # llm_cfg_path refers to 'https://github.com/TencentARC/SEED-Story/blob/master/configs/clm_models/llama2chat7b_lora.yaml' from omegaconf import OmegaConf import hydra # load Llama2 llm_cfg = OmegaConf.load(llm_cfg_path) llm = hydra.utils.instantiate(llm_cfg, torch_dtype="fp16") # initialize seed_story seed_story_cfg = OmegaConf.load(seed_story_cfg_path) seed_story = hydra.utils.instantiate(seed_story_cfg, llm=llm)
- Notebooks
- Google Colab
- Kaggle
README
Browse files
README.md
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# SEED-Story
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[](https://huggingface.co/datasets/TencentARC/StoryStream)
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[](https://github.com/TencentARC/SEED-Story)
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## Citation
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If you find the work helpful, please consider citing:
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```bash
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# SEED-Story
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[](https://arxiv.org/abs/2407.08683)
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[](https://huggingface.co/datasets/TencentARC/StoryStream)
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[](https://github.com/TencentARC/SEED-Story)
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## Citation
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If you find the work helpful, please consider citing:
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```bash
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@misc{yang2024seedstorymultimodallongstory,
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title={SEED-Story: Multimodal Long Story Generation with Large Language Model},
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author={Shuai Yang and Yuying Ge and Yang Li and Yukang Chen and Yixiao Ge and Ying Shan and Yingcong Chen},
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year={2024},
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eprint={2407.08683},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2407.08683},
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}
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```
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