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:
- e4c381739e2508c6d4218cdc8417a6f07bdc7642e9702f43c6b51b021739d098
- Size of remote file:
- 256 MB
- SHA256:
- dc6fd82b38068a7c005ee1a7bcfeebcab5a0ff6bc165c97024b28868cb224b59
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