Instructions to use elifm/swin-tiny-patch4-window7-224-finetuned-sar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elifm/swin-tiny-patch4-window7-224-finetuned-sar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="elifm/swin-tiny-patch4-window7-224-finetuned-sar") 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("elifm/swin-tiny-patch4-window7-224-finetuned-sar") model = AutoModelForImageClassification.from_pretrained("elifm/swin-tiny-patch4-window7-224-finetuned-sar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cccac06605cf1762ecb28060b1f48038d8b6571f72267e11588275965b043c7
- Size of remote file:
- 110 MB
- SHA256:
- 53ca52e0c278e14854970bb43f7f8f5c3241dbd27689bc0933713de4e5f0f778
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