Instructions to use ia/segformer-finetuned-sidewalk-10k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ia/segformer-finetuned-sidewalk-10k-steps with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ia/segformer-finetuned-sidewalk-10k-steps") model = SegformerForSemanticSegmentation.from_pretrained("ia/segformer-finetuned-sidewalk-10k-steps") - Notebooks
- Google Colab
- Kaggle
File size: 272 Bytes
fcb5403 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "SegformerFeatureExtractor",
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"reduce_labels": false,
"resample": 2,
"size": 512
}
|