Instructions to use shatrunjai/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shatrunjai/regular-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("shatrunjai/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("shatrunjai/regular-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shatrunjai/regular-segmentation-model: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/shatrunjai/regular-segmentation-model/resolve/main/training_args.bin
- Command line
-
hf download hf://shatrunjai/regular-segmentation-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shatrunjai/regular-segmentation-model/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 7e1147a8ef3ea8ff4f339a6cea9ffd0a185775d669174809ae1db9b33fe45233
- Size of remote file:
- 3.58 kB
- SHA256:
- 9cabfb67339c7e0e08730f4af505b21758782b44da0826ed0690f3f0065f52ae
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