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/annotator/mediapipe_face/__init__.py from toto10/Ooga: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
-
https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/annotator/mediapipe_face/__init__.py
- Command line
-
hf download hf://toto10/Ooga/extensions/microsoftexcel-controlnet/annotator/mediapipe_face/__init__.py
-
curl -L -o __init__.py https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/annotator/mediapipe_face/__init__.py
204 Bytes
| from .mediapipe_face_common import generate_annotation | |
| def apply_mediapipe_face(image, max_faces: int = 1, min_confidence: float = 0.5): | |
| return generate_annotation(image, max_faces, min_confidence) | |