Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-65-fold4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-65-fold4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-65-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-patch16-224-65-fold4") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-65-fold4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1efd8b89a0bfdeb6670e6ff38f91960cdab5072f6220868d688dcaa5913bdb6d
- Size of remote file:
- 5.05 kB
- SHA256:
- 1b768fa126cb02a6ec752e5976cc2ea62f9b565dadbada21f129006ff0cb4888
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