Instructions to use piecurus/segformer-finetuned-segments-opit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piecurus/segformer-finetuned-segments-opit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="piecurus/segformer-finetuned-segments-opit")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("piecurus/segformer-finetuned-segments-opit") model = SegformerForSemanticSegmentation.from_pretrained("piecurus/segformer-finetuned-segments-opit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1993b44a43d06e98b9ae87b2b11637e6768a104001febd26936d02c64a39dd9f
- Size of remote file:
- 14.9 MB
- SHA256:
- fd0420bc711183af76d76b099e54b0c05c1672aed672fc9d24c9682d6f60e5b4
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