Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-85-fold4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-85-fold4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-85-fold4") 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-patch16-224-85-fold4") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-85-fold4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25f4c6e564bdbed54119da4e63967e9a3b9f1f10bb00164452a154ceac8a2184
- Size of remote file:
- 5.05 kB
- SHA256:
- 32edfa38e81eb2cc16264e1f35d7b9adf28a5d1beab7ed623b72db1da9854db7
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