Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-65-fold5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-65-fold5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-65-fold5") 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("BilalMuftuoglu/beit-base-patch16-224-65-fold5") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-65-fold5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edd21f6640f802b7f910c549f4b7ea5be6c8ad0a73b94bd625501952810d0bdf
- Size of remote file:
- 5.05 kB
- SHA256:
- ef2441698fa9fca98532f4ea491a337b119d478073f8225449a61e38c3206e4a
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