Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use mansee/vit-base-patch16-224-blur_vs_clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mansee/vit-base-patch16-224-blur_vs_clean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mansee/vit-base-patch16-224-blur_vs_clean") 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("mansee/vit-base-patch16-224-blur_vs_clean") model = AutoModelForImageClassification.from_pretrained("mansee/vit-base-patch16-224-blur_vs_clean") - Notebooks
- Google Colab
- Kaggle
Ctrl+K