Instructions to use swapit/dev_on with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use swapit/dev_on with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("swapit/dev_on", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: wtfpl
datasets:
- saiyan-world/Goku-MovieGenBench
- open-thoughts/OpenThoughts-114k
- axxkaya/UVT-Explanatory-based-Vision-Tasks
- Rapidata/sora-video-generation-physics-likert-scoring
- Rapidata/sora-video-generation-time-flow
language:
- en
metrics:
- accuracy
- character
- code_eval
base_model:
- black-forest-labs/FLUX.1-dev
new_version: Wan-AI/Wan2.1-T2V-14B
pipeline_tag: image-to-video
library_name: adapter-transformers
tags:
- biology