Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-65-fold3 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-fold3 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-fold3") 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-fold3") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-65-fold3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae59b6516ff16c211e44dc2c8e3bf6f30591f40c8071b5b169789024a9a37bda
- Size of remote file:
- 5.05 kB
- SHA256:
- 55a53e07859b9b8c091519979b5d69a21da8f8d718e8ab1533083c5c3c6717d9
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