Instructions to use Hardy01/chill_watcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hardy01/chill_watcher with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hardy01/chill_watcher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download extensions-builtin/ScuNET/preload.py from Hardy01/chill_watcher: direct link, hf CLI and curl.
- Browser
- Download file 221 Bytes
-
https://huggingface.co/Hardy01/chill_watcher/resolve/main/extensions-builtin/ScuNET/preload.py
- Command line
-
hf download hf://Hardy01/chill_watcher/extensions-builtin/ScuNET/preload.py
-
curl -L -o preload.py https://huggingface.co/Hardy01/chill_watcher/resolve/main/extensions-builtin/ScuNET/preload.py
221 Bytes
| import os | |
| from modules import paths | |
| def preload(parser): | |
| parser.add_argument("--scunet-models-path", type=str, help="Path to directory with ScuNET model file(s).", default=os.path.join(paths.models_path, 'ScuNET')) | |