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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93a307326219491aaff1087033d4e46d078bd5cf739b831c38f9e05ad3eebc40
- Size of remote file:
- 3.9 kB
- SHA256:
- 755188d3f73ff37e29a2469f02880aeb86a66820ef1facb7e92daad61f71475a
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