Instructions to use Hasano20/SegFormer_Clean_Set1_240430_V2-Augmented_mit-b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hasano20/SegFormer_Clean_Set1_240430_V2-Augmented_mit-b5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Hasano20/SegFormer_Clean_Set1_240430_V2-Augmented_mit-b5")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Hasano20/SegFormer_Clean_Set1_240430_V2-Augmented_mit-b5") model = SegformerForSemanticSegmentation.from_pretrained("Hasano20/SegFormer_Clean_Set1_240430_V2-Augmented_mit-b5") - Notebooks
- Google Colab
- Kaggle
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