Instructions to use Ninjadeveloper007/StoryToMotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ninjadeveloper007/StoryToMotion with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Ninjadeveloper007/StoryToMotion", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- fka/awesome-chatgpt-prompts
- Rapidata/sora-video-generation-physics-likert-scoring
language:
- en
metrics:
- code_eval
base_model:
- deepseek-ai/DeepSeek-R1
- deepseek-ai/Janus-Pro-7B
new_version: deepseek-ai/DeepSeek-R1
library_name: adapter-transformers
tags:
- video
- text-to-video
- computer-vision
- image-to-video