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")# pip install -U transformers accelerate # 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
Commit History
-
End of training
Verified signaturee3ea858 -
Training in progress, epoch 2
Verified signature4e27ac5 -
Training in progress, epoch 1
Verified signatured32f89c -
End of training
Verified signature3e01335 -
Model save
Verified signature77f90ab -
Training in progress, epoch 1
Verified signaturec2a0bfc