Instructions to use edangx100/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edangx100/my-segmentation-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("edangx100/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("edangx100/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload SegformerForSemanticSegmentation
95c2acf -
Upload feature extractor
fb7c043 -
Upload SegformerForSemanticSegmentation
ca62416 -
Upload feature extractor
c3fb98f -
Upload SegformerForSemanticSegmentation
571a9d4 -
Upload feature extractor
29f423b
-
Upload SegformerForSemanticSegmentation
de4038a -
Upload feature extractor
158be22 -
Upload SegformerForSemanticSegmentation
1adda75 -
Upload feature extractor
01545d0 -
initial commit
3a0be45