Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-75-fold2 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-fold2 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-fold2") 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-fold2") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-75-fold2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4bc289be8fd13ae24c79246d2ac1c794c7e38cd8360b2b81f1b61dbe8e3f73f
- Size of remote file:
- 5.05 kB
- SHA256:
- 8e39210c733ad3bab25b141b487a4813ee21505dd7fff1bbdc0159e795b09ec3
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