Instructions to use varcoder/segformer-DeepCrack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varcoder/segformer-DeepCrack with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("varcoder/segformer-DeepCrack") model = SegformerForSemanticSegmentation.from_pretrained("varcoder/segformer-DeepCrack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23fd125215359c804e26332933470bc85d360b15f91630ae4b1ffe40711e01d6
- Size of remote file:
- 3.9 kB
- SHA256:
- 389864f2fb7ea601955d60fd38456bedb77248d673b5b0b6dc382adc3e0a8590
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