Instructions to use Itbanque/fashion_segformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Itbanque/fashion_segformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Itbanque/fashion_segformer")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Itbanque/fashion_segformer") model = SegformerForSemanticSegmentation.from_pretrained("Itbanque/fashion_segformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc245b10237bfe27ef581d6d8ca80c35d109a68581c87a5e3615d98627f2ba0b
- Size of remote file:
- 5.78 kB
- SHA256:
- db0404b0fec08a7b24450e2a0d1bb4cec5674432d020fd8df36c706ee45667fa
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