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:
- e65561aad800eb98da125553792c38e32b634e0aaf11bcd53385746a79057184
- Size of remote file:
- 189 MB
- SHA256:
- c9deb3c7af57959fe9600de6de49daacbfdc222edcaf7696d4178960094ccd4e
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