Instructions to use husmani/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use husmani/my-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("husmani/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("husmani/my-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bb2a26b12fcbf4b2d6aedda0a917c60274f2689a77276d50a4543988d815513
- Size of remote file:
- 15.1 MB
- SHA256:
- 10611a84c273d555534e97eef7ef4fe549ce79350f91f55ec9c91add220e3073
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