Instructions to use mdeputy/windowz_dce-022625 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdeputy/windowz_dce-022625 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import UNETForSegmentation model = UNETForSegmentation.from_pretrained("mdeputy/windowz_dce-022625", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test_image_6 (2).png from mdeputy/windowz_dce-022625: direct link, hf CLI and curl.
- Browser
- Download file 28.7 kB
-
https://huggingface.co/mdeputy/windowz_dce-022625/resolve/028a85df5f1e6c01f9c856d1ea089280729abe4b/test_image_6%20(2).png
- Command line
-
hf download 'hf://mdeputy/windowz_dce-022625@028a85df5f1e6c01f9c856d1ea089280729abe4b/test_image_6 (2).png'
-
curl -L -o 'test_image_6 (2).png' 'https://huggingface.co/mdeputy/windowz_dce-022625/resolve/028a85df5f1e6c01f9c856d1ea089280729abe4b/test_image_6%20(2).png'
28.7 kB
.png)