Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-75-fold3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-75-fold3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-75-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-patch16-224-75-fold3") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-75-fold3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90b17e6df7ef9157e1c499128ca86d2409c24ae90cc1f0b89c23a8ab54a4be97
- Size of remote file:
- 5.05 kB
- SHA256:
- 08b78ceaa32c20072d5365a0749d9d4601f7a29f927059a4cc2c594b1ee15192
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