Instructions to use SabinazilverAI/RoosterAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use SabinazilverAI/RoosterAI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("SabinazilverAI/RoosterAI", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: openrail
datasets:
- HuggingFaceFV/finevideo
language:
- aa
metrics:
- charcut_mt
base_model:
- ostris/OpenFLUX.1
new_version: meta-llama/Llama-3.2-1B
pipeline_tag: text-to-audio
library_name: adapter-transformers