Instructions to use jackie68/semantic_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackie68/semantic_segmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jackie68/semantic_segmentation") model = SegformerForSemanticSegmentation.from_pretrained("jackie68/semantic_segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jackie68/semantic_segmentation: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/jackie68/semantic_segmentation/resolve/main/training_args.bin
- Command line
-
hf download hf://jackie68/semantic_segmentation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jackie68/semantic_segmentation/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- b5703feb064ad5b3999bb188c6cf4548913648c36dba15e34be4ad357dc2c563
- Size of remote file:
- 3.58 kB
- SHA256:
- ed8840826043df46dc8c1b8e7afbb4019d154d05b3e065dba383b25cd4d332d2
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