Instructions to use Parikshat/segformer_checkpoint_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parikshat/segformer_checkpoint_10 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Parikshat/segformer_checkpoint_10") model = SegformerForSemanticSegmentation.from_pretrained("Parikshat/segformer_checkpoint_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a5405ff3303979f015470154db103690c9651abeaa76e2407c91007447ee3ae
- Size of remote file:
- 14.9 MB
- SHA256:
- 6520ffab22e0332c38012dbe55e564e8b7094309da17c1119f3747954567684a
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