Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-75-fold5 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-fold5 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-fold5") 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-fold5") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-75-fold5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eca62859aaf7f3c6ff482491ed7336a37a6344bed40883bcd60981bb1146903
- Size of remote file:
- 5.05 kB
- SHA256:
- cf33c410edcdd5d7c1ff96b5d7a62d87ac7eb9d877a8e2d095a52ca6b021fe8a
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