Instructions to use deman539/my-segmentation-model-36-e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deman539/my-segmentation-model-36-e with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("deman539/my-segmentation-model-36-e") model = SegformerForSemanticSegmentation.from_pretrained("deman539/my-segmentation-model-36-e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f38292181ed3186796f66e11d88727ec29fef78e5a09235dcad4b4bfe8f347d
- Size of remote file:
- 14.9 MB
- SHA256:
- 985e711bda146684df3888ad2978191158ac453556db257e771eee0f48b25e4b
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