Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-85-fold5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-85-fold5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-85-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-patch16-224-85-fold5") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-85-fold5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db50c907433f4bb68a1c9fae3b303f55b4430f8065f84b41a39de27ade7a7020
- Size of remote file:
- 5.05 kB
- SHA256:
- a2d3c68129ef532b88beecf173d24c516b41cdf28ff95374c06912616ab06cc8
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