Instructions to use mdeputy/windowz_020625 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdeputy/windowz_020625 with Transformers:
# Load model directly from transformers import UNETForSegmentation model = UNETForSegmentation.from_pretrained("mdeputy/windowz_020625", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06ccb485ccd3f57193d43e194427dbc114d759e6034d92d06686ca25244192c7
- Size of remote file:
- 5.18 kB
- SHA256:
- 3775bff2eca752f2956fa9b634c475229429bef905f6e58970e222095f1a7cff
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