Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-55-fold4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-55-fold4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-55-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-patch16-224-55-fold4") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-55-fold4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 660a0f51dec86a1712ddf9be3337116ae573101f49051d96f8976b2546d3ee02
- Size of remote file:
- 5.05 kB
- SHA256:
- 20b96b1524586ff58b2e4afdd10523ea88dc39380301fd934b61f973523dcca3
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