Instructions to use DDingcheol/Task-m28yhtd-segmentation2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDingcheol/Task-m28yhtd-segmentation2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("DDingcheol/Task-m28yhtd-segmentation2") model = SegformerForSemanticSegmentation.from_pretrained("DDingcheol/Task-m28yhtd-segmentation2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download person-4.jpg from DDingcheol/Task-m28yhtd-segmentation2: direct link, hf CLI and curl.
- Browser
- Download file 6.79 kB
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https://huggingface.co/DDingcheol/Task-m28yhtd-segmentation2/resolve/main/person-4.jpg
- Command line
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hf download hf://DDingcheol/Task-m28yhtd-segmentation2/person-4.jpg
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curl -L -o person-4.jpg https://huggingface.co/DDingcheol/Task-m28yhtd-segmentation2/resolve/main/person-4.jpg
6.79 kB
