Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use Sara5115/swin-tiny-patch4-window7-224-BlurClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sara5115/swin-tiny-patch4-window7-224-BlurClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sara5115/swin-tiny-patch4-window7-224-BlurClassification") 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("Sara5115/swin-tiny-patch4-window7-224-BlurClassification") model = AutoModelForImageClassification.from_pretrained("Sara5115/swin-tiny-patch4-window7-224-BlurClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d6f7704eff46558e7e9b602020e197140f896cc6e85468cfcfecc0c9e9f7b72
- Size of remote file:
- 5.78 kB
- SHA256:
- 86a698736cf5349d9c09805ccfcc04cc263ad9c965e429dff848d53b02a21045
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