Instructions to use paulelliotco/swin-tiny-patch4-window7-224_brain_tumour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulelliotco/swin-tiny-patch4-window7-224_brain_tumour with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="paulelliotco/swin-tiny-patch4-window7-224_brain_tumour") 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("paulelliotco/swin-tiny-patch4-window7-224_brain_tumour") model = AutoModelForImageClassification.from_pretrained("paulelliotco/swin-tiny-patch4-window7-224_brain_tumour", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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