Instructions to use toto10/Ooga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toto10/Ooga with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toto10/Ooga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download extensions/microsoftexcel-controlnet/preload.py from toto10/Ooga: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/preload.py
- Command line
-
hf download hf://toto10/Ooga/extensions/microsoftexcel-controlnet/preload.py
-
curl -L -o preload.py https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/preload.py
752 Bytes
| def preload(parser): | |
| parser.add_argument("--controlnet-dir", type=str, help="Path to directory with ControlNet models", default=None) | |
| parser.add_argument("--controlnet-annotator-models-path", type=str, help="Path to directory with annotator model directories", default=None) | |
| parser.add_argument("--no-half-controlnet", action='store_true', help="do not switch the ControlNet models to 16-bit floats (only needed without --no-half)", default=None) | |
| # Setting default max_size=16 as each cache entry contains image as both key | |
| # and value (Very costly). | |
| parser.add_argument( | |
| "--controlnet-preprocessor-cache-size", | |
| type=int, | |
| help="Cache size for controlnet preprocessor results", | |
| default=16, | |
| ) | |