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/mmpkg/mmcv/visualization/__init__.py from toto10/Ooga: direct link, hf CLI and curl.
- Browser
- Download file 338 Bytes
-
https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/annotator/mmpkg/mmcv/visualization/__init__.py
- Command line
-
hf download hf://toto10/Ooga/extensions/microsoftexcel-controlnet/annotator/mmpkg/mmcv/visualization/__init__.py
-
curl -L -o __init__.py https://huggingface.co/toto10/Ooga/resolve/main/extensions/microsoftexcel-controlnet/annotator/mmpkg/mmcv/visualization/__init__.py
338 Bytes
| # Copyright (c) OpenMMLab. All rights reserved. | |
| from .color import Color, color_val | |
| from .image import imshow, imshow_bboxes, imshow_det_bboxes | |
| from .optflow import flow2rgb, flowshow, make_color_wheel | |
| __all__ = [ | |
| 'Color', 'color_val', 'imshow', 'imshow_bboxes', 'imshow_det_bboxes', | |
| 'flowshow', 'flow2rgb', 'make_color_wheel' | |
| ] | |