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:
- 304ef45c07b47ed740a9ec16e416665a4eef5720eab686187f5bfd00ee55833b
- Size of remote file:
- 31.2 kB
- SHA256:
- 88eb18f0f17c56dc33e8960a625f95f3753910a8412c7fcbde1db6f219ed7378
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