Instructions to use dexforint/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dexforint/checkpoints with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("dexforint/checkpoints") model = SegformerForSemanticSegmentation.from_pretrained("dexforint/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff72dfd45aeefea9c1b08f362f9f4a7fdcd544e8236446228870f8493dd52c43
- Size of remote file:
- 256 MB
- SHA256:
- 04197ba76b7afb073f3f405f0052606cc122f4605a4d4648a3a049bee285bef6
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