Instructions to use Dugerij/image_segmentation_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dugerij/image_segmentation_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dugerij/image_segmentation_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Dugerij/image_segmentation_classifier") model = AutoModelForImageClassification.from_pretrained("Dugerij/image_segmentation_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 564cb3f354b3d47f39c06df78b28c700751824504bbcd6cf19fb82b7bbdbdfd4
- Size of remote file:
- 5.37 kB
- SHA256:
- 75f093505268dbb5713c5e4fd00f33998a753a3fd6d154d64c6e0c47e2fe87f2
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