Instructions to use IslemTouati/segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IslemTouati/segmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("IslemTouati/segmentation") model = SegformerForSemanticSegmentation.from_pretrained("IslemTouati/segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IslemTouati/segmentation: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/IslemTouati/segmentation/resolve/main/training_args.bin
- Command line
-
hf download hf://IslemTouati/segmentation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IslemTouati/segmentation/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 08b79becbaa4dd191c0f1cce047553a9b2a7cc920226e66cc2f29d15e6b9e337
- Size of remote file:
- 5.05 kB
- SHA256:
- 816cf5a06ebdaa9a1c3e32dad4d684c56469103a5c69cafad45e7ff22b1c0686
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