Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-55-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-55-fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-55-fold1") 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-patch16-224-55-fold1") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-55-fold1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cf34b3e583d4dc9d8eed1a9029cbcc6dcc27272cb3951fff552cefa67c7da5a
- Size of remote file:
- 5.05 kB
- SHA256:
- 83a8120069eb5deea5a24f83d212450ce045c934269733f23212110cd1b0c67b
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