Instructions to use mdeputy/windowz_ln_segment_051525 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdeputy/windowz_ln_segment_051525 with Transformers:
# Load model directly from transformers import UNETForSegmentation model = UNETForSegmentation.from_pretrained("mdeputy/windowz_ln_segment_051525", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mdeputy/windowz_ln_segment_051525: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/mdeputy/windowz_ln_segment_051525/resolve/main/training_args.bin
- Command line
-
hf download hf://mdeputy/windowz_ln_segment_051525/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mdeputy/windowz_ln_segment_051525/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- e2b9d8c3d4170c6a9d4d203850ab0a07715226458a2981a81328ecc4aa3140c8
- Size of remote file:
- 5.24 kB
- SHA256:
- 474d9837c61b595a00801aafb0cb56b52e83171d024ba01f402fb983089fa91e
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