Instructions to use varcoder/Augmented-MIT-b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varcoder/Augmented-MIT-b5 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("varcoder/Augmented-MIT-b5") model = SegformerForSemanticSegmentation.from_pretrained("varcoder/Augmented-MIT-b5") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
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runs/Aug18_18-46-34_ad74472f80d1/events.out.tfevents.1692384404.ad74472f80d1.4463.0
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