Instructions to use UniversalAlgorithmic/segformer-finetuned-sidewalk-10k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UniversalAlgorithmic/segformer-finetuned-sidewalk-10k-steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="UniversalAlgorithmic/segformer-finetuned-sidewalk-10k-steps")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("UniversalAlgorithmic/segformer-finetuned-sidewalk-10k-steps") model = SegformerForSemanticSegmentation.from_pretrained("UniversalAlgorithmic/segformer-finetuned-sidewalk-10k-steps") - Notebooks
- Google Colab
- Kaggle
Zheng Li commited on
Training in progress, epoch 1
Browse files
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runs/Feb26_14-58-13_cs-Precision-7960-Tower/events.out.tfevents.1740599896.cs-Precision-7960-Tower.363915.0
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