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
| 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 | |