Instructions to use Potato986/motion_control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Potato986/motion_control with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Potato986/motion_control", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 324 Bytes
88d7739 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ---
license: apache-2.0
datasets:
- stepfun-ai/Step-3.5-Flash-SFT
language:
- en
metrics:
- accuracy
base_model:
- Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
new_version: Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
pipeline_tag: text-to-video
library_name: adapter-transformers
tags:
- finance
--- |