Instructions to use deep-learning-analytics/segformer_semantic_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deep-learning-analytics/segformer_semantic_segmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("deep-learning-analytics/segformer_semantic_segmentation") model = SegformerForSemanticSegmentation.from_pretrained("deep-learning-analytics/segformer_semantic_segmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a747e6884026df731a18d510a2f557ff8f30f6c01e1e047b6b9d27ca36c68798
- Size of remote file:
- 339 MB
- SHA256:
- 359c9f2a41a10d40086e22de6a387a3e2698d7e1eb58a77863bb6fcd19f38e08
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